Partner Solutions Architect
Role details
Job location
Tech stack
Job description
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 from our office in Amsterdam or remotely from any EU country.
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
Requirements
- 5+ years in solutions architecture, partner engineering, or technical pre-sales at cloud or data platform companies
- Strong expertise in cloud infrastructure
- Hands-on experience with GPU-accelerated AI/ML workflows (training, inference, MLOps)
- Proven background in integration architecture (API design, data pipelines, security, observability)
- Experience with Python and IaC tools
- Excellent communication skills with the ability to engage technical and non-technical stakeholders
It will be an added bonus if you have:
- Track record of building or scaling partner technical programs or ecosystems
- Experience working with or at Snowflake, Databricks, AWS, Azure, or GCP
- Background in ML lifecycle (training pipelines, fine-tuning, inference optimization, RAG, 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.
Benefits & conditions
- 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