Partner Solutions Architect

About the role

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. 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-RB2 - 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 Benefits & Perks: - Competitive compensation - Career growth and learning opportunities - Flexibility and ownership - Collaborative and innovative culture - Opportunity to work on impactful AI projects - International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.