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Nebius

Principal Solutions Architect

RemoteJapan, South Korea only
Published
Role
AI / ML
Experience
Principal
Employment
Full-time
Company size
Enterprise
Salary not disclosed
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Open to JP, KR only. Set where you work from to check your eligibility.

No BS summary

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.

Core skills

MLOpsGPU computingCloud infrastructure

Required skills

Infrastructure as CodeTerraformAnsiblePythonKubernetesCUDA

Optional skills

HPCML orchestration frameworksSlurmKubeflowPyTorchTensorFlowNVIDIAAWS

Required languages

JapaneseEnglishKorean

What you'll do

  • 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.
  • 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.
  • Serve as a trusted technical advisor to senior customer stakeholders (CTO, Head of ML, Platform Engineering, AI Infrastructure teams).

What they require

  • 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 ownership
  • Collaborative and innovative culture
  • Opportunity to work on impactful AI projects
  • International environment and talented teams

Nebius

Dutch company developing a portfolio of AI-related technology assets

🇳🇱 NetherlandsTechnology, Information And InternetMid-sizenebius.group/
Salary not disclosed