Principal Solutions Architect

Role Overview

We are seeking an experienced, customer-obsessed Principal Solutions Architect to lead technical engagement with Nebius' most strategic customers across multiple industry segments. This is a senior, high-impact role focused on complex presales, large-scale ML workloads, and end-to-end customer solution ownership — from early discovery through production adoption.

What You Will Do

Own end-to-end technical presales and solution delivery for strategic and enterprise customers, from initial discovery through PoC, architecture design, and production readiness. Lead complex ML/AI infrastructure and MLOps architectures, including large-scale training and inference workloads on GPU-accelerated cloud platforms.

Why It Might Be a Fit

You will shape solution strategy, drive complex PoCs, influence product direction, and ensure successful adoption of Nebius AI cloud for mission-critical ML/AI workloads. You will act as a trusted technical partner for executive stakeholders, AI/ML leaders, and platform teams.

Requirements

• 10+ years of experience in senior technical roles such as Solutions Architect, Systems Architect, ML Platform Engineer, or similar — with significant customer-facing responsibilities.
• Proven track record of end-to-end delivery of complex presales engagements, including discovery, solution design, PoCs, and production transition.
• Deep hands-on experience with large-scale ML-based workloads, including GPU training and inference at scale.
• Strong expertise in cloud infrastructure and MLOps, including Kubernetes-based platforms and distributed systems.
• Solid hands-on experience with Infrastructure as Code and configuration management (Terraform, Ansible), and strong Python skills.
• Deep understanding of GPU computing stacks for ML/AI workloads (drivers, CUDA, libraries, performance optimization).
• Exceptional communication skills — able to clearly articulate complex technical concepts to both technical and executive audiences.
• A highly customer-centric mindset with the ability to balance customer needs, technical feasibility, and product strategy.

Benefits

• Competitive compensation
• Career growth and learning opportunities
• Flexibility and work-life balance
• Collaborative and innovative culture
• Opportunity to work on impactful AI projects
• International environment and talented teams