Principal Solutions Architect
About the role
The role
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. As a Principal Solutions Architect, you will act as a trusted technical partner for executive stakeholders, AI/ML leaders, and platform teams. 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’re welcome to work remotely from the Europe.
Your responsibilities will include:
- Own end-to-end technical presales and solution delivery for strategic and enterprise customers, from initial discovery through PoC, architecture design, and production readiness.
- Serve as a trusted technical advisor to senior customer stakeholders (CTO, Head of ML, Platform Engineering, AI Infrastructure teams).
- Lead complex ML/AI infrastructure and MLOps architectures, including large-scale training and inference workloads on GPU-accelerated cloud platforms.
- Design, validate, and document reference architectures, Infrastructure-as-Code solutions, and best-practice deployment patterns using Nebius AI.
- Drive and execute advanced PoCs, workshops, architecture reviews, and executive-level presentations to demonstrate value and accelerate customer adoption.
- Partner closely with Sales, Product, Engineering, and Support to represent real-world customer requirements and influence product roadmap decisions.
- Act as a single point of technical authority for key customer scenarios across internal teams (product, support, marketing).
- Support strategic marketing initiatives including conferences, hackathons, webinars, customer case studies, and technical thought leadership.
- Mentor and provide technical leadership to other Solutions Architects, helping raise the overall technical bar of the organization.
We expect you to have:
- 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 technical solutions for enterprise customers, ideally involving ML/AI infrastructure or cloud platforms.