Partner Solutions Architect

Details

Nebius is building a full-stack AI cloud platform for developers and enterprises, supporting workloads from data and model training through production deployment. The role focuses on technical partnerships across data platforms, MLOps vendors, AI frameworks, and independent software vendors building on GPU infrastructure.

Responsibilities

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

Requirements

• 5–10+ years of experience 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, including specialist experience with 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 experience in integration architecture, including API design, data pipelines, security, and observability.
• Experience with Python.
• Excellent communication skills, with the ability to engage technical and non-technical audiences.

Preferred Qualifications

• Experience with HPC environments and large-scale GPU clusters.
• Hands-on experience across the machine learning lifecycle, including training, fine-tuning, and retrieval-augmented generation (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 managed Kubernetes services.

Benefits

• 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) plan with up to a 4% company match and immediate vesting.
• 20 weeks of paid parental leave for primary caregivers and 12 weeks for secondary caregivers.
• Remote work reimbursement of up to $85 per month for mobile and internet.
• Company-paid short-term disability, long-term disability, and life insurance.
• Career growth and learning opportunities.
• Flexibility and ownership.
• Collaborative and innovative culture.
• Opportunity to work on impactful AI projects.

Applicants must be authorized to work in the country in which they apply and must provide proof of employment eligibility as a condition of hire. Nebius is an equal opportunity employer.