Solutions Architect

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.

The role 

We are seeking an experienced, customer-obsessed 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. 

 As a core member of our founding Japan business team, you will have the opportunity to help shape the foundations of our culture and operations while working remotely and being based in the Greater Seoul Area. 

Your responsibilities will include:  

• Own end-to-end technical presales and solution delivery for a diverse portfolio of strategic customers including AI-native and digital-native companies, strategic and large enterprises, and government organizations, 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.