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Principal Solutions Architect, South Korea

Nebius· Solutions Architecture
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Hybrid (Greater Seoul Area)Full-timePosted 2mo ago

About the role

Senior, customer-obsessed Solutions Architect leading technical engagement with Nebius’ strategic customers across multiple industry segments, focusing on presales, large-scale ML workloads, and end-to-end customer solution ownership from discovery through production adoption. Based in the Greater Seoul Area, remote work with foundational involvement in the Japan business team.

Responsibilities

  • Own end-to-end technical presales and solution delivery for a diverse portfolio of strategic 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.

Qualifications

  • 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.
  • Customer-centric mindset with the ability to balance customer needs, technical feasibility, and product strategy.
  • Fluency in Korean and English, with the ability to communicate effectively with customers and stakeholders in both languages.

Skills

Required:End-to-end presales and solution deliveryML/AI infrastructureCloud infrastructure and MLOpsInfrastructure as Code (Terraform, Ansible)PythonGPU computing stacks

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
Last updated Aug 26, 2026. Interested? Apply on the company site.
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Discover the most efficient way to build, tune and run your AI models and applications on top-notch NVIDIA® GPUs.

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