Partner Solutions Architect

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.

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:

5 - 10 + 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: #LI-AM1

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.

Pay Transparency

We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.

On Target Earnings Range

$250,000—$320,000 USD