Архитектор решений(LLM)

Customer experience:

Customer experience at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.

The role

We are looking for a Partner Solutions Architect to serve as the technical interface between Nebius and our strategic technology partners, ranging from data platforms and MLOps vendors to AI frameworks and ISVs that build on GPU infrastructure.

This is a hands-on engineering and integration role. You will design and develop integrated solutions, build reference implementations, enable partner engineering teams, and ensure joint customers succeed with combined offerings. You will influence Nebius’ product roadmap and drive deep technical collaboration across partner ecosystems.

You’re welcome to work remotely from the United States or Canada.

Your responsibilities will include: 

• Own the technical relationship with strategic partners as the primary interface to Nebius engineering and product
• Design and architect high-impact integration solutions, delivering clear joint customer value
• Build and maintain reference implementations and production-grade integrations
• Define enterprise-ready integration patterns (networking, security, compliance, observability)
• Translate partner and customer feedback into actionable product and roadmap requirements
• Enable partner teams through technical documentation, training, and demo environments
• Provide technical leadership in joint customer deployments, architecture reviews, and complex troubleshooting

We expect you to have: 

• 7+ years in solutions architecture, partner engineering, or technical pre-sales at cloud or data platform companies
• Bachelor’s degree or foreign equivalent in a related field, or an equivalent combination of education and relevant experience.
• Deep cloud infrastructure expertise, with specialist experience in large-scale Kubernetes deployments and containerized environments
• Strong hands-on experience with Infrastructure as Code, especially Terraform
• Hands-on experience deploying production AI workloads, particularly inference, and architecting or implementing agentic solutions
• Proven background in integration architecture, including API design, data pipelines, security, and observability, with experience in Python
• Excellent communication skills with the ability to engage technical and non-technical

It will be an added bonus if you have: 

• Experience with HPC environments and large-scale GPU clusters
• Hands-on experience across the ML lifecycle, including training, fine-tuning, and RAG
• Practical experience building AI agents, particularly with LangChain
• Experience with partner technical programs, major cloud or data platforms, or enterprise compliance standards
• Deep understanding of advanced Kubernetes infrastructure concepts beyond the abstraction of managed Kubernetes services.

Key Employee Benefits:

• Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) Plan: Up to 4% company match with immediate vesting.
• Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote Work Reimbursement: Up to $85/month for mobile and internet.
• Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Join Nebius Today!

ABOUT BASETEN

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.

THE ROLE
As a Solutions Architect at Baseten you will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. This role is a great fit for entrepreneurial, customer-facing technical professionals who want a front-row view into how modern companies adopt AI at scale, and who enjoy working across technical discovery, solution design, demos, deployment scoping, and hands-on customer implementations, in close partnership with Sales and Engineering.

RESPONSIBILITIES

• Partner with Sales on customer discovery calls (most often second calls, occasionally first calls for large accounts).

• Lead demos and technical scoping to align on success criteria, architecture, and deployment approach.

• Own benchmarking and repeatable deployments, including:

• Handling standard deployment patterns and configurations across many modalities – LLMs, embeddings, image and video generation, Voice AI, etc.

• Advising on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups.

• Driving consistent “playbook” style deployments for common models and use cases.

• Become a power user of different runtimes such as vLLM, SGLang, and TRT-LLM and all the common configurations and tradeoffs between them

• Drive POC and project execution, including:

• Scoping POCs and keeping stakeholders aligned on timeline, deliverables, and next steps.

• Acting as the “ringleader” or project manager for POCs.

• Pulling in Forward Deployed Engineering (FDE) support when deeper or more complex technical work is needed.

REQUIREMENTS

• AI/ML background and the ability to credibly discuss AI/ML topics with technical stakeholders.

• Strong customer-facing communication skills, including the ability to run structured discovery and clarify ambiguous requirements.

• Technical depth to scope solutions, without needing to write production code.

• Ability to script and prototype as needed, including comfort “vibe coding” to move quickly in technical workflows.

NICE TO HAVE

• Experience running or supporting benchmarks for ML inference deployments.

• Familiarity with infrastructure tradeoffs relevant to inference performance and cost (for example GPU selection and latency versus throughput tuning).

• Experience serving as a cross-functional technical lead for customer POCs, including coordination across Sales and Engineering.

BENEFITS

• Competitive compensation, including meaningful equity

• (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents

• Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)

• Paid parental leave

• Fertility and family-building stipend through Carrot

• (U.S. only) Company-facilitated 401(k)

• Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.

At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).