Partner Solutions Architect (AI)

TL;DR

Partner Solutions Architect (AI): Designing and developing integrated solutions between Nebius AI Cloud and strategic technology partners with an accent on GPU-accelerated workflows and cloud infrastructure. Focus on building reference implementations, enabling partner engineering teams, and driving technical collaboration across the AI ecosystem.

Location: Must be based in the EU or able to work from the Amsterdam office.

Company

Nebius is a full-stack AI cloud platform building infrastructure for the global AI economy, supporting developers and enterprises from model training to production deployment.

What you will do

• Own the technical relationship with strategic partners as the primary interface to internal 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 including networking, security, compliance, and observability.
• Translate partner and customer feedback into actionable product and roadmap requirements.
• Enable partner teams through technical documentation, training, and demo environments.

Requirements

• 5+ years of experience in solutions architecture, partner engineering, or technical pre-sales at cloud or data platform companies.
• Strong expertise in cloud infrastructure and hands-on experience with GPU-accelerated AI/ML workflows.
• Proven background in integration architecture including API design, data pipelines, and security.
• Proficiency in Python and IaC tools.
• Excellent communication skills for engaging both technical and non-technical stakeholders.
• Must be authorized to work in the EU.

Nice to have

• Track record of building or scaling partner technical programs or ecosystems.
• Experience working with major cloud providers like AWS, Azure, or GCP.
• Background in ML lifecycle management including training pipelines, fine-tuning, and RAG.

Culture & Benefits

• Competitive compensation package.
• Opportunities for career growth and continuous learning.
• Collaborative, innovative, and supportive professional environment.
• High degree of flexibility and ownership over technical projects.
• Work on impactful, cutting-edge AI infrastructure projects.