Principal Solutions Architect, South Korea

The role

You will lead technical engagement and end-to-end presales for strategic customers. You will design ML/AI infrastructure architectures and drive complex PoCs on the Nebius AI cloud platform.

What you will do

• Own end-to-end technical presales and solution delivery for strategic customers.
• Serve as a trusted technical advisor to senior customer stakeholders.
• Lead complex ML/AI infrastructure and MLOps architectures.
• Design, validate, and document reference architectures and Infrastructure-as-Code solutions.
• Drive and execute advanced PoCs, workshops, and architecture reviews.
• Partner with Sales, Product, Engineering, and Support to influence product roadmap decisions.
• Act as a single point of technical authority for key customer scenarios.
• Support strategic marketing initiatives like conferences and webinars.
• Mentor and provide technical leadership to other Solutions Architects.

Required qualifications

• 10+ years of experience in senior technical roles such as Solutions Architect, Systems Architect, ML Platform Engineer, or similar.
• Significant customer-facing responsibilities.
• Proven track record of end-to-end delivery of complex presales engagements.
• 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).
• Strong Python skills.
• Deep understanding of GPU computing stacks for ML/AI workloads (drivers, CUDA, libraries, performance optimization).
• Exceptional communication skills.
• Highly customer-centric mindset.
• Fluency in Korean and English.

Nice to have

• Prior experience as a Senior AI/ML Specialist Solutions Architect, Technical ML Product Manager, or in a similar senior AI/ML-focused role.
• Hands-on experience with HPC and ML orchestration frameworks (e.g., Slurm, Kubeflow).
• Practical experience with deep learning frameworks such as PyTorch and TensorFlow.
• Strong understanding of the cloud ML ecosystem across major providers (NVIDIA, AWS, Azure, Google Cloud).
• Experience influencing product direction based on customer feedback and real-world usage patterns.
• Experience leading and contributing to end-to-end large scale ML deployment projects on all layers of the stack.

Benefits

• 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

Before you apply

• Applicants must be authorized to work in the country in which they apply.
• Will be required to provide proof of employment eligibility as a condition of hire.

About the company

Nebius is building a full-stack AI cloud platform that supports developers and enterprises. The company is listed on Nasdaq and has a global footprint with R&D hubs across Europe, the UK, North America and Israel.