Вакансии G42: работа в IT и digital

Overview:

We are seeking a Senior Full Stack Engineer to design, build, and operate web applications and services across our AI product portfolio. You will own features across the full application stack, from responsive user interfaces and frontend application logic to backend services, APIs, and databases.

Working closely with product managers, designers, engineers, and applied scientists, you will translate customer needs into secure, reliable, and intuitive software. This is a hands-on engineering role with responsibility throughout the development lifecycle, including technical design, implementation, testing, deployment, and ongoing improvement in production.

Responsibilities:

• Deliver features end to end: Translate product requirements into technical designs and working software spanning the frontend, backend, and data layers.
• Build modern user interfaces: Develop responsive, accessible web applications using a framework such as React, Angular, or Vue. Create reusable components and manage application state, API integration, and loading and error experiences.
• Develop backend services and APIs: Design and maintain Python services using FastAPI or Flask, implementing business logic, validation, authentication, authorization, and integrations.
• Design and manage application data: Develop database schemas, implement migrations, and optimize queries. Select appropriate SQL or NoSQL solutions based on application needs.
• Integrate AI capabilities: Work with applied scientists to connect AI services and model APIs to usable product features, handling asynchronous operations, failures, and response times effectively.
• Build quality into delivery: Write automated unit, integration, and end-to-end tests. Participate in code reviews and maintain clear technical documentation.
• Improve performance and reliability: Diagnose issues across browser, API, service, and database layers, addressing security, scalability, usability, and maintainability.
• Support production operations: Collaborate with platform and DevOps teams on CI/CD, deployments, monitoring, and incident resolution. Take ownership of the production health of the features you deliver.
• Contribute technical leadership: Guide implementation decisions, explain tradeoffs, mentor engineers, and improve shared engineering practices.

Qualifications:

• 5+ years of professional software engineering experience, with substantial hands-on experience delivering both frontend and backend components of production applications.
• Strong proficiency in JavaScript or TypeScript, HTML, and CSS, with experience in at least one modern frontend framework such as React, Angular, or Vue.
• Practical understanding of component design, state management, responsive layouts, accessibility, and browser performance.
• Strong backend development skills in Python, with experience using FastAPI, Flask, or a comparable framework.
• Experience designing, implementing, and consuming RESTful APIs, including authentication, authorization, validation, and error handling.
• Experience with relational databases, including data modeling, SQL, schema migrations, and query optimization.
• Experience with automated testing across frontend and backend code, Git-based collaboration, and code reviews.
• Familiarity with CI/CD, containerized applications, and deployment to cloud environments.
• Ability to debug issues across the application stack and make practical tradeoffs between delivery speed, quality, and maintainability.
• Strong communication and collaboration skills, with a track record of taking ownership from requirements through production delivery.

Preferred Qualifications

• Experience integrating AI/ML services or generative AI capabilities into applications.
• Experience building SaaS products, including multi-tenant applications.
• Familiarity with GraphQL, WebSockets, background processing, caching, or NoSQL databases.
• Experience with additional backend technologies such as Node.js or Java.
• Experience with mobile or cross-platform application development.

Overview:

The Lead Engineer – SOC (SIEM & SOAR) is a critical role responsible for delivering SIEM /SOAR management services, particularly focusing on Splunk SIEM and SOAR, within the Security Operations Center (SOC). This role encompasses working closely with the SOC Internal and external teams to facilitate onboarding new log sources, enhancing and optimizing telemetry, ensuring system updates, resolving issues, and maintaining SIEM performance, automation and orchestration, designing playbooks according to best practices achieved through SOAR Solution.

Responsibilities:

Key Responosibilities

• Deliver Splunk SIEM /SOAR management services within the SOC environment.
• Collaborate with the asset owner, client stakeholder, and SOC, in onboarding new log sources to the SIEM/SOAR platform.
• Maintain and govern SOC critical log sources, ensuring their proper functionality and integration with Splunk SIEM /SOAR.
• Detect log source issues, coordinate with customers to diagnose and resolve them in a timely manner.
• Enhance and optimize telemetry within the Splunk environment to improve data collection, correlation, and reporting.
• Perform regular system updates to ensure Splunk functionality and security are up to date.
• Resolve Splunk-related issues promptly and efficiently.
• Proficiency in field extractions, data normalization, and CIM (Common Information Model) compliance.
• Maintain the performance of the Splunk SIEM /SOAR according to established best practices.
• Design SOAR Playbooks to enhance automation and orchestration of incidents.
• Connect SOAR with SIEM, ticketing systems (e.g., ServiceNow), threat intelligence platforms, and endpoint tools.
• Experience with platforms like Splunk SOAR (Phantom), Forti SOAR, or Cortex XSOAR.
• Participate in continuous process improvements to increase SOC efficiency and effectiveness.
• Provide regular and accurate reports on Splunk services and SOC operations to relevant stakeholders.
• Contribute to SOC architecture strategy and implementation initiatives related to Splunk.
• Assist in the mentorship and development of junior SOC engineers.

Characteristics: 

• Profound knowledge and hands-on experience with Splunk SIEM/SOAR and other related technologies like CRIBL.
• Understanding of SOC workflows, MITRE ATT&CK framework, and threat detection methodologies.
• Ability to correlate data across multiple sources to identify patterns and anomalies.
• Strong understanding of cloud and network technologies, essential for efficient log source onboarding.
• Proven technical capabilities in a complex, fast-paced SOC environment.
• Ability to diagnose and troubleshoot log source issues related to cloud and network infrastructures.
• Strong understanding of SOC operations, cybersecurity principles, and best practices.
• Excellent problem-solving skills and the ability to make decisions under pressure.
• Ability to collaborate effectively with a variety of team members, including interfacing with customers to resolve issues.
• High proficiency in written and verbal communication.

Qualifications:

Skills/Certifications

• Splunk Certified Architect or Splunk Certified Administrator.
• Mastery of SPL (Search Processing Language) for complex queries, dashboards, and reports.
• Python scripting skills.
• Experience with platforms like Forti SOAR, Splunk SOAR (Phantom), Cortex XSOAR etc.
• Cloud-related certifications like AWS Certified Solutions Architect, Google Professional Cloud Architect, or Microsoft Certified: Azure Solutions Architect Expert.
• Certified Information Systems Security Professional (CISSP), GIAC is preferred
• Networking certifications such as CCNA or CCNP are advantageous.

Minimum Work Experience

A minimum of 8 years of experience in SOC operations, with significant experience in Splunk SIEM management.

Prior experience in a technical role within a SOC or similar cybersecurity environment.

Education

Bachelor’s degree in computer science, Information Technology, Cybersecurity, or a related field.

Overview:

Inception is seeking a highly proficient and accomplished Sr. Applied Scientist, with a proven track record, todevelop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This roleoffers a unique opportunity to work closely with our product development teams, applying emerging technologiesacross a diverse range of applications.

Responsibilities:

In the Sr. Applied Scientist role you will play a crucial part in pioneering research and development across variousfacets of AI, including but not limited to computer vision, natural language processing, and audio signalprocessing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learningmodels, contributing to advancements in areas such as semantic understanding, multidimensional datainterpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrumof practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, andhealthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.

• Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emergingtrends, understanding and manipulating complex datasets, and conceptualizing models that are both innovativeand applicable to real-world scenarios.
• Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data,enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
• Collaborate with researchers and engineers across teams at Inception for the design, development, andcontinual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized forefficiency, reliability, and scalability.
• Work alongside product development teams to integrate new algorithms and models into broader productofferings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate intotangible benefits for users and stakeholders.
• Propose scenarios where AI techniques could improve the efficiency of the customer’s business.
• Provide pre-sales and post-sales technical support to the business development team.

Qualifications:

Skills and attributes for success

The criteria for your success would include cost savings achieved, number of use cases investigated & datasetsmined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.

To qualify, you must have

• M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision,Natural Language Processing or Speech and Audio are highly desirable.
• Minimum 8 years of experience in developing AI algorithms for various modalities
• Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journalsor a history of product-driven research and development.
  
  

Ideally, you’ll also need

• A highly curious and inquisitive approach to problem-solving
• In-depth knowledge of the latest developments in AI and machine learning
• Excellent communication skills  

What we look for

If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community. 

Overview:

G42 is a leading AI and technology group headquartered in Abu Dhabi, delivering transformative AI, cloud, and digital infrastructure solutions globally. Through its portfolio of AI platforms, sovereign cloud capabilities, advanced computing infrastructure, and industry-focused AI products, G42 is building the foundational technologies that power the next generation of intelligent systems.

Role Overview

We are seeking a highly accomplished Member of Technical Staff (MTS) to join our U.S. engineering organization and play a key role in shaping the future of large-scale AI infrastructure, agentic systems, and enterprise AI platforms.

This is a hands-on technical leadership position focused on designing, building, and scaling production-grade AI systems. The successful candidate will combine deep expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), multi-agent architectures, and cloud-native engineering with a passion for solving complex real-world challenges.

The MTS will work across strategic initiatives including GPUaaS (GPU-as-a-Service), Token Factory, Agentic Compute, AI Foundries, and enterprise AI platforms, helping drive innovation from concept through production deployment.

Responsibilities:

AI Platform Architecture & Development

• Design and build scalable AI platforms leveraging LLMs, RAG architectures, agentic workflows, and enterprise knowledge systems.
• Develop production-ready AI solutions across distributed and cloud-native environments.
• Architect high-performance AI services supporting model hosting, inference optimization, evaluation frameworks, and orchestration layers.
• Drive technical direction for GPU infrastructure utilization, token-based AI services, and next-generation AI platform capabilities.

Agentic AI & Advanced AI Systems

• Design and implement multi-agent systems capable of complex reasoning, task delegation, planning, and orchestration.
• Develop advanced agent frameworks enabling enterprise-scale autonomous workflows.
• Create evaluation frameworks to measure model performance, reliability, safety, and business outcomes.
• Collaborate with product and research teams to translate emerging AI innovations into production capabilities.

Cloud & Infrastructure Engineering

• Architect and deploy large-scale AI solutions on Azure and cloud-native platforms.
• Build resilient AI pipelines using technologies such as Kubernetes, APIs, vector databases, AI search, document intelligence, and distributed data services.
• Optimize system performance, scalability, security, and operational excellence across AI workloads.
• Contribute to platform standards, reusable engineering frameworks, and reference architectures.

Technical Leadership

• Provide technical leadership across cross-functional engineering initiatives.
• Mentor engineers through design reviews, architecture guidance, coding best practices, and technical problem-solving.
• Influence engineering strategy while remaining deeply hands-on in design and implementation.
• Establish best practices for AI development, model evaluation, deployment, and platform governance.

Innovation & Thought Leadership

• Drive experimentation with emerging AI technologies, foundation models, agent frameworks, and AI infrastructure services.
• Contribute to technical publications, whitepapers, open-source initiatives, and developer communities.
• Represent G42 in technical discussions with strategic customers, partners, and industry stakeholders.
• Identify opportunities to enhance G42's AI platform capabilities and accelerate adoption of innovative technologies.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related technical field.
• 15+ years of software engineering experience with a strong track record of delivering enterprise-scale platforms and solutions.
• Deep expertise in LLMs, RAG architectures, multi-agent systems, prompt engineering, model orchestration, and AI evaluation frameworks.
• Strong programming expertise in Python and/or C#.
• Experience building production AI solutions using modern AI frameworks and toolchains.
• Hands-on experience with cloud-native platforms and distributed systems.
• Expertise with Azure services such as Kubernetes, AI Search, Cosmos DB, API Management, and AI platform services.
• Proven ability to lead complex technical initiatives from architecture through production deployment.
• Strong communication skills with the ability to influence senior technical and business stakeholders.

Overview:

G42 Americas is seeking a Senior Talent Acquisition Partner for Non-Tech business to bring senior corporate and commercial leaders into the business. This is a senior individual-contributor role for someone who can advise executives, uncover talent beyond the obvious networks, and personally turn an initial conversation into a successful hire.

The Opportunity

You will recruit across functions such as Finance, Legal and Compliance, Human Resources, Strategy, Sales, Marketing, and Partnerships. Your focus will be non-technical leadership, with search priorities shaped by business needs.

The challenge goes beyond filling roles. You will introduce G42 Americas to US executives who may not know us yet, explain the opportunity in terms that matter to them, and earn their interest through credible conversations. Success requires resourcefulness, business fluency, and the ability to build relationships without depending on a familiar employer name.

You deliver leaders against agreed business needs, develop trusted executive relationships, and leave each search with stronger market knowledge and a better-connected talent pipeline. Hiring managers value your advice, candidates understand the opportunity, and the recruiting process becomes more effective as the business grows.

This is a hybrid role, with half of your working time spent in our Bellevue, Washington office at Lincoln Square North.

Responsibilities:

• Own the search. Take executive assignments from the initial business discussion through research, outreach, interviews, references, offer negotiation, and acceptance. Stay close to the details rather than simply coordinating the process.
• Define what the business needs. Work with hiring leaders to clarify the outcomes a new executive must deliver, the experience that matters, and where the search can remain flexible.
• Find talent others might miss. Map relevant companies and functions, approach passive candidates directly, and develop referral relationships across industries. Build connections ahead of immediate hiring needs.
• Make the opportunity relevant. Tailor your approach to each executive’s ambitions and concerns. Partner with Marketing, Communications, and Human Resources on clear recruiting messages, using approved information and distinguishing business plans from confirmed commitments.
• Guide better decisions. Bring hiring leaders a grounded view of the market, candid feedback on candidate fit, and practical options when requirements or expectations need to change.
• Build confidence on both sides. Use structured, role-related assessments and thoughtful references. Keep candidates informed, protect confidentiality, and help interview teams reach clear, evidence-based decisions.
• Bring searches to a close. Understand candidate priorities early, anticipate obstacles, and work with hiring leaders and Total Rewards on offers that balance candidate expectations with business needs.
• Build a stronger recruiting practice. Maintain useful talent intelligence, monitor search progress and candidate feedback, and improve how work gets done. Use approved research and AI-enabled tools responsibly; manage external search partners when needed.

Qualifications:

• 10+ years in recruiting or executive search, including substantial personal ownership of Director, Vice President, or equivalent leadership searches.
• A record of hiring senior leaders across multiple corporate or commercial functions, with strong knowledge of the US executive talent market.
• Experience winning candidate interest for a less-established employer, a new business, or an opportunity that requires more explanation than brand recognition can provide.
• The judgment and business understanding to advise senior executives, challenge assumptions constructively, and navigate confidential or changing requirements.
• Strong research, direct outreach, assessment, and negotiation skills, supported by clear writing and persuasive, accurate communication.
• A bachelor’s degree or equivalent practical experience.

Preferred Qualifications

• A combination of search-firm and in-house experience.
• Leadership hiring in technology or other complex businesses.
• Experience helping an organization enter a market, establish functions, or build teams across borders.
• Master’s degree

Compensation & Benefits

The base salary for this full-time position ranges from $120,000 our lowest geographic market to $180,000 in our highest geographic market. The actual base salary will be determined by various factors, including the position’s location, job-related skills, knowledge, experience, and relevant education or training.

Certain roles are eligible for additional rewards, such as merit-based salary increases, annual bonuses, and long-term incentive plans, which are contingent on individual and company performance. Additionally, some positions offer the opportunity to earn sales incentives based on revenue or utilization targets.

As a full-time employee, you will also have access to comprehensive benefits, including leading healthcare options (medical, dental, and vision insurance), a 401(k) plan with company matching, company-sponsored short-term and long-term disability coverage, life insurance, paid time off, and various well-being benefits, among others.

Equal Employment Opportunity

G42 Americas is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.

If you need assistance and/or a reasonable accommodation to participate in the job application or interview process, or to perform the essential functions of the position, please contact us at USA-ExternalCandidates@g42.ai.

Overview:

The Senior SOC Engineer is responsible for managing SIEM services within the Security Operations Center, with a primary focus on Splunk SIEM and Splunk UEBA. This role involves onboarding new log sources, optimizing telemetry, ensuring system updates, troubleshooting issues, and maintaining SIEM performance. Additionally, the engineer will support SIEM architecture improvements and deployments aligned with business requirements.

Responsibilities:

Qualifications:

Overview:

We are seeking a Lead Engineer – AI Application QA to define and drive the quality assurance strategy for AI-enabled financial applications and enterprise platforms. This role combines technical leadership with hands-on testing across application functionality, AI-powered user experiences, APIs, data flows, and integrated business workflows.You will lead manual and automated testing practices, establish measurable acceptance criteria, and embed continuous testing throughout the software delivery lifecycle. Working closely with Engineering, Product, Architecture, and AI teams, you will ensure that applications deliver reliable, secure, and contextually appropriate outcomes that meet business requirements.

Responsibilities:

• Own the end-to-end QA strategy, test planning, and execution for AI-enabled applications, covering functional, integration, regression, usability, accessibility, and performance testing.
• Lead and mentor QA engineers, review test designs and automation code, and maintain consistent testing standards across internal and vendor teams.
• Define risk-based coverage and acceptance criteria for business workflows, including AI-assisted interactions and their downstream actions.
• Validate AI application behavior against approved scenarios, checking response relevance, factual consistency with authorized source content, instruction adherence, and appropriate handling of unsupported requests.
• Test conversational experiences, including multi-turn interactions, context retention, session isolation, ambiguous inputs, and recovery from errors.
• Validate document ingestion and retrieval workflows, ensuring responses use relevant source content, provide accurate references where required, and respect user access permissions.
• Test AI-driven orchestration and tool integrations, including correct action execution, confirmation steps, authorization boundaries, retries, and prevention of duplicate or unintended actions.
• Validate application safeguards against prompt injection, sensitive information disclosure, and unauthorized access across users or tenants.
• Verify graceful handling of unavailable AI services, timeouts, incomplete responses, and dependency failures, including fallback behavior and user-facing messages.
• Build and maintain scalable automation frameworks for UI, API, integration, and data validation testing.Maintain reusable business scenarios, representative test data, and application regression suites to assess the impact of changes to prompts, configurations, integrations, and application releases.
• Integrate automated smoke and regression testing into CI/CD pipelines, supporting daily regression and timely feedback.Validate financial calculations, reconciliations, reporting, and audit trails within AI-assisted and conventional application workflows.Assess end-to-end responsiveness, concurrent usage, and application stability under expected and peak workloads.
• Collaborate with Security and Compliance teams to verify application controls against applicable requirements.Drive defect triage and root-cause analysis, translating production findings into improved test coverage.
• Maintain requirements traceability, test evidence, defects, and quality reporting in Azure DevOps.Communicate release readiness, unresolved defects, and residual risks; ensure QA sign-off is followed by Product sign-off before production release.

Qualifications:

To qualify for this role, you must have:

• A bachelor’s degree in Computer Science, Engineering, or a related field.At least 10 years of QA experience, including 3 years  technical leadership in  enterprise environments.
• Hands-on experience testing AI-enabled applications, such as conversational assistants, enterprise search, document processing, or automated business workflows.Strong expertise in functional testing, exploratory testing, test design, and automation engineering.
• Experience developing and maintaining automation frameworks for UI, API, and end-to-end integration testing.An understanding of application concepts such as prompts, conversational context, retrieval-augmented generation (RAG), and AI-driven tool execution.
• The ability to design repeatable acceptance checks for applications whose responses can vary, using clear business rules and expected outcomes.
• Strong SQL skills and experience validating data flows, transformations, and reporting outputs.Experience validating financial workflows, access controls, and audit requirements.
• Familiarity with Agile delivery, Git, CI/CD pipelines, and cloud-based applications.Strong analytical and communication skills, with the ability to explain quality risks and support release decisions.Experience mentoring engineers and coordinating testing across multidisciplinary teams.

Technical Exposure

Relevant experience with an appropriate combination of the following technologies is desirable:

• Test automation: Selenium, Playwright, Cypress, REST Assured.
• Programming languages: Python, TypeScript; Java for REST Assured-based automation.
• AI application testing: Conversational workflows, RAG applications, prompt regression, response verification, and tool/API integration testing.
• API testing: Postman, REST APIs, authentication, authorization, and service integration.
• CI/CD and test management: Azure DevOps, GitHub Actions.
• Azure services: App Services, Azure Functions, Azure Kubernetes Service (AKS).
• Data platforms: SQL, Azure Data Factory.
• Domain knowledge: Financial systems, reconciliation, compliance controls, and reporting.

Overview:

Inception AI is spearheading a transformative initiative to deploy a large-scale AI program across Abu Dhabi’s critical sectors, including Government, Education, and State-Owned Enterprises (SOEs).

We are seeking an accomplished Principal Solutions Architect to lead our enterprise-scale AI initiatives and drive the development of sophisticated AI solutions. The AI Delivery Principal Solutions Architect will play a critical role in shaping our AI strategy, leading high-impact projects, and providing technical leadership across the organization. This role will pioneer the use of Model Context Protocol (MCP) and Agent-to-Agent (A2A) orchestration to build scalable, secure, and interoperable AI systems across hybrid and on-premise environments. The ideal candidate will have extensive experience in AI/ML, a strategic mindset, and exceptional leadership abilities.

About Inception

Inception, a G42 company, is the region’s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer – transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit www.inceptionai.ai

Responsibilities:

Strategic Leadership

• Define and drive the AI strategy aligned with business objectives.
• Identify and prioritize AI opportunities that deliver significant business value.
• Serve as a thought leader in AI, both within the organization and in the industry.

Solution Architecture

• Architect and oversee the implementation of scalable, high-performance AI solutions.
• Architect and oversee multi-agent AI systems leveraging MCP for shared context management, interoperability, and secure inter-agent communication
• Ensure all AI solutions adhere to principles of scalability, modularity, observability, security, and governance across federated infrastructures
• Design A2A collaboration frameworks enabling autonomous, goal-oriented coordination between specialized agents across cloud, edge, and on-prem deployments
• Lead the design of hybrid AI architectures integrating Generative AI, structured reasoning agents, and traditional enterprise services
• Lead the evaluation and adoption of new AI technologies and frameworks.

Project Leadership

• Oversee the full lifecycle of AI projects, from conceptualization to deployment and optimization.
• Lead cross-functional teams, ensuring collaboration and alignment across departments.
• Manage project timelines, resources, and budgets, ensuring successful delivery.

Technical Expertise

• • Deep technical proficiency in agentic AI design, model orchestration, and multi-agent communication protocols (e.g., MCP, LangChain, Semantic Kernel)
  • Proven experience integrating LLMs and agent frameworks into enterprise ecosystems
  • Hands-on experience with hybrid AI deployments, combining cloud-native scalability with on-premise GPU and edge compute environments
  • Ensure best practices in AI model development, deployment, and maintenance.

Collaboration and Influence

• Partner with the leadership team to communicate the value and impact of AI initiatives.
• Collaborate with product management, data science, and engineering teams to translate business needs into technical solutions.

Continuous Innovation

• Stay at the forefront of AI research and trends, bringing innovative ideas to the organization.
• Foster a culture of continuous improvement and learning within the AI team.
• Evaluate and implement MLOps practices to streamline AI workflows and model management.
• Collaborate with global partners to advance MCP standards and ensure interoperability across multi-model ecosystems

Qualifications:

Skills and attributes for success

• Exceptional problem-solving and analytical skills.
• Strong communication and interpersonal skills, with the ability to influence and inspire others.
• Strategic thinker with a proactive approach to driving change and innovation.

To qualify for the role you must have

• Master’s or Ph.D. in Computer Science, Data Science, Engineering, or a related field.
• 10+ years of experience in AI/ML solution design and development, with a track record of delivering impactful AI solutions.
• Demonstrated experience in leading large-scale AI projects and managing cross-functional teams.
• Extensive experience with cloud platforms (AWS, Azure, GCP) and AI services and hybrid AI deployments combining cloud-native scalability with on-premise GPU
• Strong programming skills in languages such as Python, Rust, or Java.
• Expertise in machine learning algorithms, natural language processing, computer vision, and deep learning techniques.
• Proficiency with AI/ML frameworks and libraries (TensorFlow, PyTorch, scikit-learn, Semantic Kernel.).
• Strong understanding of data engineering, ETL processes, and distributed data technologies (e.g., Spark, Ray, Kafka) with experience integrating structured and unstructured data pipelines into AI and agentic ecosystems
• Experience with MLOps and deploying models in production environments.

What we look for

If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.

What working at Inception offers

Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.

Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.

Work-Life: A hybrid work policy to strike the perfect balance between office and home.

Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.

If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

Overview:

We are seeking a Senior Full Stack Engineer to build and enhance front-end and back-end components of our AI platform. You will play a crucial role in building and maintaining a highly integrated and scalable software ecosystem. You are expected to have a deep understanding and rich experience of various software systems, frontend, backend, databases, interfaces, and protocols, including legacy and current ones.

Responsibilities:

• Your key responsibilities
• Develop web applications and APIs to interact with AI services.
• Implement responsive, high-performance user interfaces.
• Collaborate with data science and backend teams to deliver integrated solutions.
• Maintain code quality and participate in code reviews.
• Designing, developing, and maintaining high-performance RESTful APIs and potentially other communication protocols using Python with Flask or FastAPI.
• Ensuring that non-functional requirements such as security, performance, maintainability, scalability, usability, and reliability are considered during architectural solutions.

Qualifications:

To qualify for the role, you must have

• 5+ years of experience in full-stack development.
• Strong knowledge of JavaScript frameworks (React, Angular, Vue).
• Proficiency in backend technologies (Python, Node.js, Java).
• Experience with RESTful APIs, GraphQL, and database systems (SQL/NoSQL).
• Knowledge of AI/ML concepts.

What we look for

• A builder who can execute end-to-end: design → implement → test → operate.
• Strong problem-solving, ownership mindset, and comfort working across teams.

Overview:

G42 is building the compute, cloud, and data foundations for advanced AI to work at scale across government, healthcare, energy, finance and more.

Within G42, Inception42 is the layer that turns infrastructure into products people actually use. Our mission is to make advanced AI reliable, sovereign, and genuinely useful for some of the most important institutions and companies in the world. Our agentic systems strive to carry out real work rather than simply answer questions: Alpha, InSight and Vantage are applications for domain-specific intelligence; and Catalyst, our agentic platform, serves organisations who build and run agents while keeping sensitive data within the UAE.

The opportunity

We are looking for a hands-on Principal Product Designer to lead design work and manage a design pod across our AI-native portfolio: personal AI agents, executive intelligence, agentic workflows, governance platforms, and domain-specific solutions.

This is a role for an inventor. Your central job is to translate abstract vision — an executive ambition, a policy goal, a model capability that appeared six months ago — into concrete, innovative products that people trust and use every day. Your work will define how people should delegate real work to autonomous systems, and stay in control of the outcomes achieved by AI that are inherently non-deterministic.

You will own design from discovery through delivery, set the craft bar and the design systems across multiple products, and redefine the product design best practices at Inception42. You will work at the boundary of design, product, and applied AI — shaping not only the interface, but how the AI behaves with it.

Responsibilities:

Vision and strategy

• Define the product design vision, experience principles, and quality bar across Inception42’s portfolio.
• Translate abstract vision and emerging AI capability into concrete, innovative product concepts — and then into shipped experiences.
• Partner with Product, Engineering, and Science teams to shape product strategy and roadmaps, for both the near term and the long term.
• Turn business and government requirements into use cases and high-level customer experiences.
• Drive sharper design thinking and seamless processes across Inception42

Building AI-native apps, not just interfaces

• Work fast and run several projects at once, comfortable with ambiguity while managing stakeholder input, functional requirements, and timelines.
• Lead discovery, UX research, journey mapping, interaction design, prototyping, usability tests, and production.
• Own the full life cycle of AI-native design projects, from design strategy through to execution and launch.
• Design for AI uncertainty and failure with checks and balances to mitigate potential incorrect or fabricated output, incomplete information, refusals, streaming and latency, tool errors, and non-deterministic behaviour.
• Design intuitive experiences for AI agents, copilots, multi-agent systems, dashboards and conversational interfaces, and AI workflows across interaction patterns (memory, citations, long-running actions, etc.)
• Make AI capabilities and their limits legible, so users can calibrate their trust based on expected performance.
• Partner with Product, Engineering and Science teams to align AI experiences to their product designs across all layers: prompt and system design, tone of voice, output structure, content standards, and guardrails.
• Contribute to evaluation: define what good output looks like from the user’s point of view, and help build the rubrics, test sets, and human review loops that measure it.
• Ground designs in common sense, intuition, quantitative and qualitative data: UX research, market research, behavioural and telemetry data, and stakeholder feedback.
• Define success metrics with Product, Science and Engineering— adoption, task success, time-to-value, correction and abandonment rates, trust calibration — and instrument designs so those metrics can be read.

Design systems, best practices and outcomes

• Establish and govern scalable design systems across web, mobile, conversational, voice, and workflows.
• Design interfaces and interaction flows in Figma, other prototyping tools, and AI tooling for rapid idea generation; treat working prototypes as the primary way you align stakeholders.
• Develop and maintain clear design specifications, and hold all stakeholders to the set design quality bar
• Ensure products support English and Arabic, with right-to-left layout, bilingual typography and cultural context
• Design in line with sovereign and responsible-AI expectations: AI disclosure, privacy and data-residency constraints, auditability, and human-in-the-loop control.

Leadership and influence

• Operate as a hands-on leader: set direction while still solving the hardest design problems yourself.
• Recruit, mentor, and lead product designers, both full-time and contractors, while establishing strong standards for craft, critique, and product thinking.
• Present design work to Product, Engineering, Science teams, Inception42 leadership, government stakeholders, enterprise customers, and external partners — you are able to act upon and use their high level feedback well.
• Present complex, creative ideas  in a way that is understandable to executives, engineers, and domain experts.

Qualifications:

• 10+ years of product design experience, with experience managing teams for major design initiatives.
• An online portfolio demonstrating end-to-end product ownership, interaction design, visual craft, and measurable outcomes. Case studies should show your process and your decisions, not only final screens.
• Experience with best practices for user interface design, information architecture, and interaction design.
• Experience with life-cycle design projects, from design strategy through to execution.
• Experience designing complex enterprise, SaaS, workflow, operational, or data-rich products.
• Strong expertise in user research, information architecture, prototyping, usability testing, and design systems.
• Expert proficiency in Figma and other design and prototyping tools.
• Experience designing AI-powered products such as agents, copilots, conversational UIs, intelligent workflows.
• Practical understanding of human–AI interaction, explainability, trust, confidence, user control, and HITL.
• Familiarity with AI concepts such as prompts, context, RAG, citations, memory, evaluations
• Experience using AI-assisted design, coding, research, or prototyping tools in your day-to-day work.
• Strong leadership, stakeholder management, communication, and presentation skills,
• Ability to work with ambiguity and to find clarity in a fast-pacing and changing environment
• Bachelor’s or Master’s degree in Product Design, Interaction Design, Human–Computer Interaction, or related fields

Preferred qualifications

• Experience with AI governance, workflow builders, decision-intelligence products, or enterprise AI platforms.
• Experience designing bilingual Arabic and English products; Arabic language ability is a plus but not required
• Familiarity with frontend technologies or design-to-code workflows, and the ability to prototype in code.
• Solid grasp of conversational and voice design fundamentals.
• Experience working directly with senior executives, government stakeholders, and enterprise customers.
• Experience in regulated domains such as healthcare, energy, financial services, or the public sector.
• Experience building or scaling a design function from a small base.

Overview:

G42 is building the compute, cloud, and data foundations for advanced AI to work at scale across government, healthcare, energy, finance and more.

Within G42, Inception42 turns that infrastructure into products people use. Our mission is to make advanced AI reliable, sovereign, and useful for some of the world's most important institutions and companies. Alpha, InSight and Vantage deliver domain-specific intelligence; Catalyst, our agentic platform, serves organisations that build and run agents while keeping sensitive data within the UAE.

The opportunity

We are looking for a hands-on Principal Product Manager with deep FinTech expertise to lead Alpha, Inception42's investment and credit AI product. You will own strategy, roadmap, and outcomes for institutional investors, lenders, and financial analysts.

Translate emerging AI capabilities into investment research, due diligence, underwriting support, and portfolio monitoring workflows. Turn fragmented information into reviewable analysis, with clear evidence and user control. Success means accurate work, sustained adoption, and measurable customer value.

You will lead cross-functional teams spanning Design, Engineering, Science, domain experts, and Growth. You will make difficult trade-offs, stay close to customers and product details, and mentor product managers.

Responsibilities:

Product strategy and customer discovery

• Define Alpha's vision, target segments, differentiation, and roadmap, connecting customer needs with emerging AI capabilities.
• Assess competitors, incumbent research tools, and in-house solutions to identify where Alpha can win.
• Work directly with analysts, portfolio managers, and credit teams to understand workflows, buying criteria, and adoption barriers.
• Use research, AI-assisted prototypes, and pilots to test hypotheses and demand, turning recurring needs into reusable workflows.
• Prioritise by customer impact, commercial potential, feasibility, and risk; make explicit build, defer, or stop decisions and coordinate shared capabilities with Catalyst.

Investment and credit workflows

• Own requirements for opportunity screening, company and sector research, due diligence, valuation support, and investment committee materials.
• Develop credit workflows: financial statement, cash-flow, and debt-service analysis, downside scenarios, credit memos, covenant review, and portfolio monitoring.
• Define expected AI behaviour and acceptance criteria, supporting analyst review, versioning, and approval, with outputs in Excel, Word, and PowerPoint.
• Prioritise integrations with filings, transcripts, market and credit data, and deal rooms, and partner on data licensing and build-versus-partner decisions.

AI product development and quality

• Translate user needs into AI requirements with Science and Engineering, including models, RAG, context, memory, tool use, and agent orchestration.
• Ensure reliable extraction and reconciliation across documents and tables, handling entities, periods, currencies, units, metric definitions, and conflicting sources.
• Make outputs traceable to source evidence, distinguishing reported facts, calculations, assumptions, and AI interpretations.
• Own evaluation rubrics, test sets, and analyst review for numerical accuracy, citations, completeness, and financial reasoning. Set release thresholds and monitor regressions.
• Define how agents handle fabricated outputs, incomplete evidence, and tool failures, with intervention, recovery, and approval paths that keep users in control.
• Build in AI disclosure, permissions, audit trails, and data residency, partnering with Security, Legal, and Risk on confidentiality and information barriers.
• Define approved uses and validation evidence with customers' governance teams, and evaluate English and Arabic financial content for quality and localisation.

Delivery and commercial outcomes

• Lead discovery through launch and iteration, balancing new capabilities with quality, reliability, latency, and cost.
• Own Alpha's business case and performance, partnering on pricing, packaging, positioning, and sales enablement, accounting for data, inference, and review costs.
• Convert pilots into sustained production use with customer success teams through repeatable onboarding, templates, and training.
• Measure task success, time to validated analysis, and material errors alongside adoption, pilot conversion, retention, and unit economics to guide priorities.

Leadership and influence

• Align technical, financial, and commercial stakeholders on priorities and trade-offs.
• Communicate credibly with investment and credit leaders, enterprise buyers, and Inception42 leadership.
• Mentor product managers, contribute to hiring, and stay hands-on with experiments, customer feedback, and production performance.

Qualifications:

• 10+ years in product management or closely related roles, with substantial ownership of complex products at senior or principal level and a record of launching and scaling financial technology.
• Knowledge of institutional investment or credit workflows, with working fluency across both.
• Experience building products for analysts, investment teams, lenders, or risk professionals.
• Strong understanding of financial statements, valuation, leverage, and credit risk.
• Ability to interrogate financial models and challenge analytical assumptions.
• Experience delivering enterprise software with measurable adoption and commercial impact, including direct customer discovery and engagement with senior financial stakeholders.
• Experience taking AI-powered products, such as agents, copilots, or intelligent workflows, from concept to production and measurable adoption.
• Practical fluency in large language models, retrieval-augmented generation, context, memory, tool use, and evaluations. Ability to reason with technical teams about quality, latency, reliability, and cost.
• Hands-on use of AI tools to prototype workflows, test model behaviour, and accelerate research, analysis, or delivery.
• Strong analytical and commercial skills, including hands-on use of Excel, SQL, or comparable tools to investigate data, test hypotheses, and measure outcomes.
• Clear written and verbal communication, leadership across functions, and sound judgement in ambiguous environments where accuracy and customer trust are critical.
• A bachelor's degree in finance, economics, computer science, engineering, business, or a related field, or equivalent practical experience.

Preferred qualifications

• Prior investment banking, asset management, private equity, private credit, corporate lending, or credit research experience alongside product leadership.
• Experience with financial data providers, document intelligence, financial modelling tools, or enterprise integrations and data-access controls.
• Experience with financial institutions, sovereign deployment, and regulated enterprise procurement. Arabic language ability and bilingual product experience are advantages.
• CFA, FRM, or another relevant finance qualification; or similar practical depth in investment or credit analysis.

What we look for

• Sound product judgement and financial rigour: test assumptions against customer evidence, check the numbers, and change direction when warranted.
• Hands-on ownership and collaborative leadership: experiment to resolve uncertainty, welcome challenge, and stay accountable for outcomes beyond launch.

Overview:

Inception42, a G42 company, is the region’s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception42 functions as the core intelligence layer – transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception42 is committed to creating positive societal impact. For more information, please visit www.inceptionai.ai

Overview

Set the direction for security and information security governance across Inception42’s enterprise platforms, cloud services, and product environments. You will own security strategy, risk oversight, control assurance, and security operations, translating business priorities and customer commitments into effective protection. This director role combines executive accountability with technical judgment: building a capable security function, directing investment, and ensuring that security controls work in production.

Responsibilities:

Define and deliver the security strategy, operating model, and prioritised roadmap. Align investment, staffing, tooling, and managed services with material risks, business priorities, and delivery needs.

• Own the information security governance framework, including policies, standards, control ownership, exceptions, and assurance. Maintain practical alignment with ISO 27001, NIST CSF, CIS, and applicable obligations.

• Direct security risk management across enterprise and product environments. Maintain a clear risk register, agree treatment with accountable owners, escalate residual exposure, and ensure risk acceptance follows defined decision authority.

• Provide executive reporting on security posture, material risks, control effectiveness, incident trends, remediation, and investment trade-offs. Make decisions and unresolved exposures clear and actionable.

• Lead the security team, setting responsibilities, performance expectations, development plans, and succession priorities. Build technical capability and accountability across internal teams and managed providers.

• Own security operations outcomes across monitoring, detection engineering, alert triage, investigation, and response. Set coverage and service expectations and challenge the effectiveness of SIEM, EDR, and detection controls.

• Direct the response to major security incidents, coordinating technical containment, investigation, recovery, stakeholder communication, and post-incident review. Ensure corrective actions are completed and validated.

• Govern vulnerability and exposure management, with risk-based prioritisation, accountable remediation owners, agreed service levels, exception handling, and escalation of overdue material risks.

• Own the security compliance and assurance programme, including applicable UAE requirements, ISO 27001 certification activities, customer security commitments, and internal and external audits through verified closure.

• Set security architecture and design review standards for cloud workloads, enterprise systems, and product initiatives. Partner with Engineering on identity, access, workload protection, secure delivery, and operational controls.

• Direct customer security assurance, due diligence, questionnaires, and evidence responses, ensuring commitments accurately reflect implemented controls and agreed remediation plans.

• Govern business continuity and disaster recovery with service owners, aligning recovery objectives, dependencies, failover arrangements, and exercises with business needs. Track test findings to closure.

• Manage security budgets, vendor performance, tooling value, and managed service outcomes. Use evidence of risk reduction and control effectiveness to guide procurement and renewal decisions.

• Build security awareness and shared accountability across the organisation. Embed security reviews and practical control ownership into platform, application, and product change.

Qualifications:

What We’re Looking For

• Experience leading an information security function or a substantial security domain, with accountability for strategy, delivery, line management, and measurable improvements in security posture.

• Strong governance, risk, and compliance expertise, including ownership of policy and control frameworks aligned to ISO 27001, NIST CSF, or CIS, and delivery of audit or certification programmes.

• Proven ability to translate business priorities and risk exposure into a funded security roadmap, clear operating responsibilities, and effective internal and vendor delivery.

• Deep practical security operations experience, including SIEM and detection tuning, alert triage, EDR, major incident leadership, and the ability to challenge technical findings and recovery decisions.

• Experience governing vulnerability management, risk-based prioritisation, remediation commitments, control exceptions, and escalation across platform and application owners.

• Cloud security capability across Azure or AWS, including posture management, identity and access controls, workload protection, and secure architecture patterns.

• Credible executive and technical communication, with the judgment to explain trade-offs, escalate material exposure, and maintain security standards under delivery pressure.

• Relevant professional certification such as CISSP, CISM, or a recognised cloud or security architecture certification.

Nice to Have

• Experience applying UAE security requirements and national frameworks in public-sector or regulated customer environments.

• Familiarity with Microsoft Sentinel, Defender XDR, Defender for Cloud, Purview, Entra ID, identity governance, and privileged access management.

• Experience with DevSecOps, secure SDLC, pipeline and container security, penetration testing, or threat modelling.

• Experience governing AI systems and data, including model, agent, and data protection risks, and leading continuity and recovery exercises.

Inception42 is building AI systems designed for practical deployment at scale — across industries, infrastructure, and national-level initiatives.

If you want to work close to both advanced AI capability and real-world execution, we’d like to hear from you.

Overview:

Inception42, a G42 company, is the region’s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception42 functions as the core intelligence layer – transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception42 is committed to creating positive societal impact. For more information, please visit www.inceptionai.ai

Overview

Enable Inception42 to introduce changes and releases safely, predictably and at the pace a product company needs. You will coordinate change risk, release readiness and communication across services supporting internal teams and external customers.

This is a senior practitioner role with independent responsibility for assigned changes and releases. You will make controls practical, evidence-based and proportionate to risk, working closely with the teams building and operating the products.

Works with the Lead Specialist, IT Service Management, Product Engineering, Quality Engineering, Application Support, Platform Reliability, Infrastructure and Information Security.

Responsibilities:

What You’ll Own

• Operate and improve change enablement and release practices, applying agreed policies and escalating exceptions to the appropriate decision owner.

• Review changes for customer impact, dependencies, risk, testing evidence, implementation steps and recovery readiness. Ensure the right owners make and record approval decisions.

• Maintain standard, normal and emergency change paths. Develop pre-authorised change models with clear eligibility criteria and review their ongoing suitability.

• Coordinate release plans and calendars across teams, identifying shared-service conflicts, business constraints and dependencies early.

• Confirm release readiness with Engineering, Quality and Support, including acceptance evidence, known issues, configuration and data changes, runbooks and support handover.

• Facilitate go/no-go decisions and targeted change reviews; record decisions and unresolved risks with accountable owners.

• Agree deployment validation, rollback or recovery criteria, including situations where database or data changes cannot be simply reversed.

• Work with engineering teams to capture change and release evidence from delivery pipelines and repositories, reducing manual duplication while preserving traceability.

• Coordinate release notes, maintenance notices and stakeholder updates. Explain expected impact, timing and support arrangements in language users can understand.

• Track post-release health and early-life support with operational teams. Coordinate recovery decisions and incident handover when changes cause service degradation.

• Review failed and emergency changes, track corrective actions and report on change failure, approval delays, release predictability and recovery performance.

• Within the first six months: Change paths, decision authorities and release readiness expectations are clear and in consistent use; Assigned releases have visible dependencies, communication plans and tested recovery arrangements; A baseline exists for change outcomes, approval delays and release-related incidents.

• Within the first twelve months: Changes and releases demonstrate improved predictability and fewer avoidable failures against agreed baselines; Routine changes flow efficiently through approved models and automated evidence capture; Post-release learning results in visible improvements to testing, readiness and recovery.

Qualifications:

What We’re Looking For

• Strong practical experience coordinating production changes and software releases across multiple technical teams.

• Working knowledge of ITIL change enablement and release management, with evidence of applying controls proportionate to risk.

• Understanding of software delivery lifecycles, version control, CI/CD pipelines, environment promotion, testing and deployment approaches.

• Ability to challenge incomplete release plans, dependency assessments and rollback assumptions while working constructively with engineers.

• Experience maintaining change records and release evidence in ITSM and engineering tools, with accurate reporting and follow-through.

• Clear written and verbal communication, strong planning skills and sound judgement during incidents, conflicting priorities and time-sensitive decisions.

Nice to Have

• Experience supporting a SaaS or product business with frequent releases and customer service commitments.

• Exposure to feature flags, progressive rollout, automated validation and database migration controls.

• Relevant ITIL, Agile or DevOps qualifications backed by practical release experience.

Participates in agreed release windows and exceptional out-of-hours change or recovery activity, coordinated with the relevant delivery and support teams.

Inception42 is building AI systems designed for practical deployment at scale — across industries, infrastructure, and national-level initiatives.

If you want to work close to both advanced AI capability and real-world execution, we’d like to hear from you.

Overview:

Inception42, a G42 company, is the region’s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception42 functions as the core intelligence layer – transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception42 is committed to creating positive societal impact. For more information, please visit www.inceptionai.ai

Overview

Keep Inception42’s enterprise networks and secure access services reliable, resilient, and secure. You will configure, operate, troubleshoot, and improve Aruba and Cisco networking, Palo Alto firewalls, Zscaler ZIA/ZPA, and Azure hybrid connectivity. This is a hands-on senior engineering role with ownership of complex operational issues, controlled changes, and technical delivery within agreed architecture and security standards.

Responsibilities:

What You’ll Own

• Operate and improve LAN, WLAN, WAN, Internet, VPN, and hybrid-cloud connectivity, maintaining availability, performance, segmentation, and secure traffic flows.

• Configure and troubleshoot Aruba switches, wireless controllers or gateways, and access points; maintain reliable coverage, capacity, and configuration baselines.

• Administer Cisco Catalyst and Nexus platforms, including IOS XE/NX-OS, VLANs, VRFs, OSPF/BGP, QoS, high availability, secure management, and software upgrades.

• Implement and maintain Palo Alto firewall policies, zones, NAT, VPN, high availability, logging, and rule reviews, applying approved security controls and change procedures.

• Operate Zscaler ZIA/ZPA services, including secure Internet and private-application access, traffic forwarding, PAC files, inspection, exceptions, and connectivity troubleshooting.

• Configure and troubleshoot Azure VNets, subnets, peering, VPN Gateway, site-to-site and point-to-site VPNs, UDRs, BGP, DNS, NSGs, and inspected egress paths.

• Monitor service health, security events, anomalous traffic, capacity, configuration drift, and ISP resilience. Improve telemetry, SIEM integration, alert quality, and escalation.

• Own complex network and security incident investigation and restoration, coordinating containment and recovery with Cybersecurity, the SOC, cloud teams, and service providers. Complete root-cause analysis and permanent corrective actions.

• Execute vulnerability remediation, configuration hardening, patching, and controlled changes with documented testing, rollback plans, and post-change validation.

• Deliver network and security upgrades and migrations; contribute practical design improvements and validate resilience, failover, interoperability, and capacity.

• Maintain network diagrams, inventories, configuration backups, runbooks, and audit evidence. Coordinate cabling, patching, labeling, testing, and as-built documentation to agreed standards.

• Drive vendor and carrier technical escalations against SLAs; track support, licensing, warranty, and renewal requirements and provide technical input to procurement.

• Share troubleshooting methods, review implementation changes, and mentor engineers. Track availability, incident restoration, recurrence, remediation, and delivery outcomes.

Qualifications:

What We’re Looking For

• Bachelor’s degree in Information Technology, Computer Science, Network Engineering, Cybersecurity, or a related field.

• 6+ years of enterprise networking or network-security experience, including hands-on responsibility for complex production operations and incident resolution.

• Strong hands-on experience with Aruba switching and wireless, Cisco Catalyst/Nexus routing and switching, and Palo Alto firewalls, including routing protocols, segmentation, policy, NAT, VPN, and high availability.

• Practical experience operating Zscaler ZIA/ZPA, SASE and Zero Trust access controls, proxy forwarding, PAC files, inspection, and exception handling.

• Experience with Azure networking and hybrid connectivity, including VNets, peering, VPN Gateway, routing, UDRs/BGP, NSGs, and network segregation.

• Strong TCP/IP, DNS/DHCP, network access control, and troubleshooting fundamentals; ability to diagnose issues across network, firewall, proxy, cloud, and identity boundaries.

• Experience with monitoring and SIEM integration, secure configurations, vulnerability remediation, incident and problem management, controlled changes, and vendor SLA escalations.

• Clear technical communication, sound operational judgment, disciplined documentation, and the ability to coordinate changes and incidents across technical teams.

Nice to Have

• Experience with Cisco ISE/802.1X, Catalyst Center, or Catalyst SD-WAN where deployed.

• Relevant Cisco CCNP, Aruba, Palo Alto Networks, Zscaler, Azure networking, or ITIL certification, or equivalent demonstrated expertise.

Inception42 is building AI systems designed for practical deployment at scale — across industries, infrastructure, and national-level initiatives.

If you want to work close to both advanced AI capability and real-world execution, we’d like to hear from you.

Overview:

Abu Dhabi

Inception42, a G42 company, is the region’s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception42 functions as the core intelligence layer – transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception42 is committed to creating positive societal impact. For more information, please visit www.inceptionai.ai.

Overview

You will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.

Responsibilities:

What You’ll Own

o    Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Core42. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
o    Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
o    Collaborate with researchers and engineers across teams at Core42for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
o    Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
o    Propose scenarios where AI techniques could improve the efficiency of the customer’s business.
o    Provide pre-sales and post-sales technical support to the business development team.

Skills and attributes for success 
The criteria for your success would include cost savings achieved, number of use cases investigated & datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.

Qualifications:

What We’re Looking For

o    M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
o    Minimum 10 years of experience in developing AI algorithms for various modalities.
o    Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.

Nice to Have

o    A highly curious and inquisitive approach to problem-solving
o    In-depth knowledge of the latest developments in AI and machine learning
o    Excellent communication skills

Why Inception42

Inception42 is building AI systems designed for practical deployment at scale — across industries, infrastructure, and national-level initiatives.

If you want to work close to both advanced AI capability and real-world execution, we’d like to hear from you.

Overview:

Abu Dhabi

Inception42, a G42 company, is the region’s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception42 functions as the core intelligence layer – transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception42 is committed to creating positive societal impact. For more information, please visit www.inceptionai.ai

Overview

Inception is seeking an exceptional and visionary Lead Applied Scientist to spearhead advanced AI research and guide teams in developing transformative deep-learning and generative AI solutions. This leadership role calls for a seasoned expert with a strong technical foundation and proven ability to translate cutting-edge research into scalable, high-impact applications. As a Lead Applied Scientist, you will architect next-generation AI systems, drive innovation pipelines, and mentor a team of scientists and engineers to deliver breakthroughs aligned with Inception’s mission.

Responsibilities:

What You’ll Own

As a Lead Applied Scientist, you will play a pivotal role in shaping Inception’s research strategy and leading teams to deliver state-of-the-art AI systems. Your focus will be on innovation leadership, strategic execution, and advancing foundational AI capabilities across multimodal domains.

Strategic Research Leadership: Define and drive Inception’s applied AI research roadmap, identifying emerging technologies and methodologies that strengthen the company’s position as a regional AI leader.

Model Innovation & System Design: Architect and oversee the development of next-generation generative and deep-learning models that integrate multiple modalities (vision, language, audio, and sensor data).

Team Leadership & Mentorship: Lead, mentor, and inspire a multidisciplinary team of scientists and engineers to achieve ambitious R&D milestones and foster a culture of curiosity, collaboration, and excellence.

Cross-Functional Collaboration: Partner with product, engineering, and business teams to translate research into deployable AI systems and enterprise-grade products.

Scalable Deployment: Ensure model scalability, reliability, and efficiency through rigorous experimentation, model optimization, and operational excellence.

Innovation Advocacy: Represent Inception in external forums, research partnerships, and conferences, advancing thought leadership and collaborative engagements with universities and industry partners.

Impact Measurement: Evaluate project success through measurable outcomes such as innovation impact, deployment efficiency, IP generation, and customer satisfaction.

Qualifications:

What We’re Looking For

• Ph.D. or M.Sc. in Computer Science, Engineering, or AI-related discipline, with specialization in Machine Learning, Computer Vision, NLP, or Multimodal AI.
• Minimum 10–12 years of experience in AI research and product development, with at least 3 years leading R&D teams or major AI projects.
• Demonstrated expertise in designing and deploying large-scale AI models and systems.
• Proven record of research contributions—publications, patents, or industry innovation initiatives.

Ideally, you’ll also need:

• Deep understanding of emerging AI paradigms including foundation models, generative architectures, and reasoning systems.
• Strong strategic thinking, project management, and leadership skills.
• Excellent communication and stakeholder management capabilities.
• Experience in AI commercialization, from research conceptualization to production deployment.

Why Inception42

Inception42 is building AI systems designed for practical deployment at scale — across industries, infrastructure, and national-level initiatives.

If you want to work close to both advanced AI capability and real-world execution, we’d like to hear from you.

Overview:

We are looking for a Data Engineer who can build scalable data pipelines while also developing intelligent AI solutions using Azure Agent Foundry, OpenAI services, LangChain, Databricks, and modern cloud architectures. The ideal candidate has strong data engineering foundations combined with hands-on experience designing and deploying enterprise-grade AI systems. 

Responsibilities:

What You’ll Own

• Develop and deploy AI agents using Azure Agent Foundry, OpenAI, LangChain, and N8N.
• Build RAG pipelines, embeddings, vector database integrations, and knowledge graph solutions.
• Design and maintain scalable data pipelines, ETL/ELT workflows, and data architectures.
• Build and maintain APIs and data services supporting AI and analytics workloads.Optimize ML workflows on Azure Databricks and integrate with Azure Fabric.
• Ensure data quality, reliability, governance, and compliance across all systems.
• Collaborate with data scientists, ML engineers, and product teams to deliver intelligent features.
• Support MLOps and DevOps processes including CI/CD, model lifecycle management, and containerized deployments.

Qualifications:

What We’re Looking For

• Bachelor’s in Computer Science, Engineering, Data Science, or related field.
• 3+ years experience in Data Engineering, AI Engineering, or ML Engineering roles.
• Experience delivering scalable AI/data solutions in cloud environments (Azure preferred).
• Strong proficiency in Python, SQL, PySpark, and ML/AI frameworks.
• Experience with Azure Agent Foundry, OpenAI APIs, LLMOps, RAG systems, and vector databases.
• Hands-on experience with Azure Databricks, Azure cloud services, and data platforms.Knowledge of big data tools (Spark, Hadoop, Flink) and modern data storage (SQL, NoSQL).
• Experience with REST/GraphQL APIs, Kafka/RabbitMQ, Docker/Kubernetes.
• Solid understanding of data modeling, ETL, and data quality best practices.Strong problem-solving, communication, and cross-functional collaboration skills.

Overview:

The SOC Lead Engineer, SIEM has a vital role in the SOC that encompasses technical leadership, SIEM architecture design, and pre-sales support. This position is responsible for overseeing the management and coordination of SIEM solutions, within the Security Operations Center (SOC). The SOC Lead Engineer will guide senior and junior engineers in day-to-day operations across multiple environments and customers, while also assisting in pre-sales estimations of SIEM licenses. Reporting to the Senior SOC Engineering & Architecture Manager, the SOC Lead Engineer, SIEM is a seasoned professional with over a decade of experience in SIEM operations.

Responsibilities:

• Lead the technical operations and management of SIEM tools including Splunk, Sentinel, LogRhythm,Qradar and FortiSIEM.
• Oversee the maintenance and functionality of the log collection layer, with a focus on tools like CRIBL.
• Ensure the health and functionality of SIEM systems through regular checks and maintenance activities.
• Oversee and manage SIEM licenses, including forecasting, tracking usage, and coordinating with sales for estimations and renewals.
• Optimize SIEM telemetry to ensure efficient and accurate data collection, correlation, and reporting.
• Develop and enforce logging standards across all customers, systems and platforms to maintain consistent and reliable log data
• Provide guidance and mentorship to SOC Engineers in managing and resolving issues related to SIEM services and log management.
• Participate in pre-sales activities to provide technical expertise and estimation for SIEM licenses and architectures.
• Collaborate with SOC Engineering & Architecture Manager to develop SIEM architecture strategies and implement initiatives.
• Assist in continuous process improvements to increase SOC efficiency and effectiveness.
• Provide regular and accurate reporting on SIEM services, SOC operations, and license management to relevant stakeholders.

Skills:

• Extensive knowledge and hands-on experience with SIEM tools such as Splunk, Sentinel, LogRhythm, FortiSIEM, and log collection components like CRIBL.
• Proven technical leadership skills in a complex, fast-paced environment.
• Demonstrable pre-sales experience, particularly in estimating SIEM licenses.
• Strong understanding of SOC operations, cybersecurity principles, and best practices.
• Exceptional problem-solving skills and the ability to make decisions under pressure.
• Excellent mentorship and team development capabilities.
• High proficiency in written and verbal communication.

Qualifications:

Certifications:

• Certified Information Systems Security Professional (CISSP).
• Certified Information Security Manager (CISM).
• Splunk Certified Architect or similar SIEM certifications are a must.
• Cloud-related certifications like AWS Certified Solutions Architect, Google Professional Cloud Architect, or Microsoft Certified: Azure Solutions Architect Expert.
• Networking certifications such as CCNA or CCNP are advantageous.

Educational Experience:

• Bachelor’s degree in computer science, Information Technology, Cybersecurity, or a related field.
• A minimum of 10 years of experience in SIEM and SOC operations, with significant experience in SIEM management and architecture.
• Prior leadership role experience within a SOC or similar cybersecurity environment.

Overview:

We are seeking highly skilled Engineers / / Senior Engineer / Lead Engineer to support the implementation of OT Cybersecurity solutions across utility environment and master control centers. The role involves hands-on deployment, configuration, and integration of cybersecurity technologies, infrastructure design, commissioning, and documentation. Candidates must have a strong background in operational technology (OT), instrumentation, and experience working in high and low voltage substations.

Responsibilities:

Qualifications:

Overview:

Looking for an astute, insightful and innovative Senior Applied Scientist to lead and execute data analytics and business intelligence projects for G42's diverse clients, leveraging AI-driven solutions to address their unique challenges and opportunities. You will be responsible for developing and implementing cutting-edge data analysis models, creating data visualizations, and providing strategic recommendations to clients across multiple industry verticals.

Responsibilities:

'Functional: 
- Lead and participate in end-to-end data analytics and business intelligence projects, from data collection and preprocessing to modeling, analysis, and reporting, employing statistical methods, machine learning algorithms, and data mining techniques.
- Collaborate with cross-functional teams to understand client requirements, design solutions, and deliver actionable insights.
- Develop and maintain scalable data pipelines and analytics infrastructure for efficient data processing and analysis.
- Design and develop AI models for predictive analytics, anomaly detection, and pattern recognition.
- Collaborate with clients to identify business objectives and translate them into data analysis and reporting requirements.
- Create and maintain dashboards and reports to visualize and communicate data-driven insights.
- Ensure data quality and accuracy by implementing data cleansing, transformation, and validation processes.
-vContinuously evaluate and enhance data analytics processes, tools, and techniques to optimize efficiency and effectiveness.
- Present findings and recommendations to clients in a clear and understandable manner, tailoring communication to various stakeholders.

Qualifications:

To qualify, you must have:
- A Ph.D. or Master's degree in a relevant field such as Computer Science, Data Science, Statistics, or a related discipline.
- Minimum of 7 years of experience in data analytics, business intelligence, or related roles, with a strong background in AI and machine learning applications.
- Proficiency in programming languages such as Python and R, as well as data analysis libraries (e.g., Pandas, NumPy, Scikit-Learn).
- Hands-on experience with data visualization tools (e.g., Tableau, Power BI) and database management systems (e.g., SQL).
- Experience in working with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and big data technologies.

Ideally, you'll also need:
- Strong problem-solving skills and the ability to work with complex, large-scale datasets.
- Excellent communication skills to effectively convey technical findings and insights to non-technical stakeholders.
- Strong project management and leadership skills to guide interdisciplinary teams and drive project success.
- Exceptional teamwork and interpersonal skills to foster collaboration and maintain strong client relationships.

Overview:

OT Lead Analyst Sector Domain is the liaison officer of the sector in OT SOC and vice versa. Communicate activities, decision, etc. to the sector stakeholders.

Responsibilities:

• Hold and provide all sector specific knowledge for all activities (incident response, threat hunting and etc.)
• Coordinate mutual efforts between the OT SOC and the sector. For example, mutual incident response investigation
• Establishing and maintaining relationships with internal and external stakeholders like suppliers, customers and incident response and security teams.
• Creating and maintaining a comprehensive understanding of global/sector related cybersecurity risks and market requirements, including regulations and standards.
• Supporting customer and teams with customer/sector cybersecurity questions and questionnaires
• Representing OT SOC as a thought leader and expert in customer discussions regarding cybersecurity and sector related discussions
• Perform assessment to monitor the adherence to applicable cybersecurity policies and industry best practices
• Actively contributing to identify, manage and reduce cyber security risks.
• Support and to drive internal cybersecurity awareness and training programs.

Qualifications:

• ISC2 Certified Information Systems Security Professional (CISSP) and/or;
• GIAC Certification
• Sector related certification(s)
• Possess strong people and process management skills.
• Proven skills in program management including project initiation, scoping, resourcing, scheduling, budgeting, risk management and communication.
• Excellent interpersonal, presentation and facilitation skills.
• Good analytical, technical, written and verbal communication skills.
• Ability to multi-task in a fast paced and demanding work environment.
• Ability to lead team with good co-ordination skills.
• Good working knowledge of Office tools.

Overview:

As a Senior Technical Architect at Inception, you will play a pivotal role in shaping the overarching architecture strategy for our AI-driven initiatives. You will work across teams to align business objectives with technology strategies, drive technical-wide architectural decisions, and ensure our systems are scalable, secure, and aligned with best practices. Your expertise will be instrumental in driving innovation and ensuring the successful delivery of transformative AI solutions.

Responsibilities:

What You’ll Own

• Develop and maintain the technical architecture framework to support business objectives and technology strategies.
• Lead the evaluation, selection, and integration of new technologies and frameworks across the organization.
• Provide strategic guidance and oversight for large-scale AI and technology initiatives.
• Design and oversee the implementation of scalable, secure, and high-performance AI solutions.
• Mentor and guide architects and technical teams in best practices and innovative solutions.
• Monitor technology trends and advocate for the adoption of emerging technologies where applicable.

Required Tech Stack

• Technical Architecture: Deep experience with frameworks such as TOGAF, Zachman, or similar.
• Programming and Development: Proficiency in languages like Python, Java, and JavaScript, with a focus on technical-level solutions.
• AI and Machine Learning: Familiarity with frameworks like TensorFlow, PyTorch, and technical AI platforms.
• Cloud Platforms: Expertise in AWS, Microsoft Azure, and Google Cloud Platform (GCP).
• Data Management: Advanced knowledge of SQL, NoSQL databases, and big data solutions (e.g., Hadoop, Spark).
• Microservices and Integration: Expertise in microservices architecture, RESTful APIs, GraphQL, and service mesh technologies

Qualifications:

What We’re Looking For

• Proven ability to lead technical-scale architectural transformations.
• Strong analytical skills and the ability to translate complex business requirements into scalable and efficient architectures.
• Exceptional leadership and communication skills, with the ability to influence stakeholders at all levels.
• A proactive, innovative mindset with a bias for action and continuous learning.

To qualify for the role you must have

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Extensive experience in technical architecture and technology leadership.
• Demonstrated success in delivering large-scale, AI-driven solutions.
• Deep understanding of architectural principles, system design, and technology strategy.

Overview:

Responsibilities:

Qualifications:

Overview:

Manage and maintain the DFIR Lab’s infrastructure, hardware, software, process and documentation. 

Responsibilities:

• Maintain and manage the team’s DFIR Lab’s hardware and software systems, ensuring availability and performance for the team engagements
• Keep the team’s DFIR Lab’s asset inventory up to date and contribute to the process of license renewals, purchases and budgeting
• Deploy, configure and maintain forensic and incident response tools like EnCase, Magnet Axiom, FTK, Cellebrite, THOR, Velociraptor, KAPE, IDA Pro, etc.
• Configure and optimize forensics workstations and laptops, war laptops, servers and storage systems
• Ensure the team’s DFIR Lab adheres to security, privacy and data integrity standards
• Implement access controls, logging, audit trails and monitoring solutions to secure the lab environment
• Evaluate and contribute to the testing and recommendation of new tools and technologies to enhance the Lab’s capabilities
• Develop and maintain scripts or automation tools to streamline workflows and improve efficiency
• Contribute to process documentation and continuous service improvement activities
• Create and update SOPs for lab operations
• Document forensic processes, lab configurations and tool usage guidelines
• Collaboration with customers to deploy hardware and software for assessments and incident response engagements
• Execute lab tasks in support of cyber incident response engagements
• Proficiency with Digital Forensics & Incident Response tools (Cellebrite, THOR, Velociraptor, KAPE, IDA Pro, Security Onion, FTK Imager, Magnet Axiom, EnCase and others)
• Good understanding of Incident Response and Digital Forensics tools deployment and functionalities such as EDR, NDR, forensic artifact collectors, intrusion detection, security monitoring, log management
• Experience with digital forensics software and equipment such as write blockers, specialized cables and wires in a technical environment, forensics workstations, forensics laptops, adapters and connectors
• Experience with (or at least knowledge of) evidence management and data acquisition in a lab in terms of supporting incident response and digital forensics
• Good Experience with Linux system structure, commands, functions and tools
• Good Experience with networking devices: switches, routers and firewalls
• Understanding of storage devices such as NAS
• Good Experience with virtualization using VMWare ESXi (Nutanix and other virtualization software knowledge would be a plus)
• Knowledge of building baseline system configurations for servers and workstations
• Good Experience and familiarity with server and desktop operating systems for Windows, Linux/Unix and Mac
• Experience in managing cloud-based environments

Qualifications:

Skills/ Certifications: -

Desired certifications in a minimum of one discipline: Incident Response, Digital Forensics, Cloud Computing, Linux/Windows Administration, Penetration Testing, Security Engineering such as CCE, CHFI, GCFE, INE Security, Microsoft/Azure/VMware/RedHat certification

Minimum Work Experience : -

Overview:

Senior Manager  - Information Technology

Position Overview 

The Senior IT Manager will lead the strategic planning, implementation, and maintenance of the organization’s IT infrastructure, ensuring seamless operations, robust cybersecurity, and alignment with business goals. This role requires expertise in managing hybrid workspaces, vendor relationships, network/application maintenance, and cybersecurity frameworks. The ideal candidate will have hands-on experience with endpoint security tools (e.g., CrowdStrike, Forcepoint), cloud platforms (Azure, Windows 365), and infrastructure components (AD/Entra ID, VDIs, firewalls). 

Responsibilities:

Responsibilities 

• Design and implement enterprise-level solutions for endpoint and workplace management, encompassing user devices, and core enterprise services such as Active Directory, domain management, DNS, DHCP, networking, security, network devices, and WiFi infrastructure. 
• Oversee Azure cloud environments, including management of Entra ID (Azure AD), Virtual Desktop Infrastructure (VDI), and Windows 365 (W365) deployments. 
• Demonstrate proven experience in guiding organizations through ISO, SOC2, GDPR, and HIPAA compliance and certification processes. 
• Manage Security Operations Centers (SOC) and Network Operations Centers (NOC), ensuring a robust cybersecurity posture for AI-driven organizations 
• Ensure high availability and performance of VDI environments and cloud-based workspaces. 
• Implement and enforce InfoSec policies, including endpoint security controls (CrowdStrike, Microsoft Defender), firewalls, and content filtering for endpoints 
• Lead patch and vulnerability management programs to mitigate risks and ensure compliance with industry standards (e.g., NIST, ISO 27001). 
• Negotiate contracts and manage relationships with vendors, suppliers, and MSPs to meet SLAs for hardware, software, and cloud services. 
• Monitor service delivery performance and resolve escalations promptly. 
• Oversee the deployment, licensing, and lifecycle management of enterprise applications and software. 
• Collaborate with DevOps teams to ensure seamless integration of on-premises and cloud systems. 
• Partner with facility teams to maintain IT infrastructure in office locations (e.g., network cabling, power management). 
• Provide support for complex IT issues, ensuring minimal downtime and high customer satisfaction. 
• Develop IT budgets, resource plans, and training programs. 

Qualifications:

Qualifications 

• Bachelor’s degree in computer science, IT, or related field (Master’s preferred). 
• 15+ years of IT management experience, with 3+ years in a senior leadership role. 
• Must possess strong people management abilities. 
• Proven expertise in managing Azure cloud environments, Entra ID, and hybrid infrastructures. 
• Experience with CrowdStrike, Forcepoint, Microsoft Defender, firewalls), content filtering, AD/Entra ID, VDIs, W365, patch management (e.g., SCCM, Intune), vulnerability scanners, Wi-Fi management, VPNs, SD-WAN, network monitoring tools 
• Excellent problem-solving skills with a focus on customer satisfaction. 
• Ability to communicate technical concepts to non-technical audience.