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Nebius company · OPEN ROLE

Nebius

Principal Solutions Architect, South Korea

South Korea · Solutions Engineer

Company
Nebius connects AI compute, storage and inference for production work.
Role
Translate a technical trial into a production architecture.

What you will do

We rewrote the responsibilities and qualifications in plain language instead of copying the original posting.

Responsibilities

  • Owns pre-sales and solution delivery for strategic customers such as AI-native companies, large enterprises, and government, from discovery to adoption.
  • Acts as a trusted technical advisor to senior customer stakeholders such as CTOs and ML and platform engineering leads.
  • Leads ML/AI infrastructure and MLOps architecture, including large-scale training and inference on GPU-accelerated cloud.
  • Designs, validates, and documents reference architectures, infrastructure-as-code solutions, and deployment best practices.
  • Leads advanced PoCs, workshops, architecture reviews, and executive presentations to accelerate customer adoption.
  • Mentors other solutions architects and raises the technical bar across the organization.

What you need

  • Has 10+ years in a senior technical role such as solutions architect, systems architect, or ML platform engineer.
  • Has a track record of leading complex pre-sales engagements end to end, from discovery through PoC to production.
  • Has deep hands-on experience with large-scale ML workloads, including GPU training and inference at scale.
  • Brings strong cloud infrastructure and MLOps skills, covering Kubernetes-based platforms as well as distributed systems work.
  • Has hands-on experience with infrastructure as code such as Terraform or Ansible, and strong Python skills.
  • Can communicate effectively with customers and stakeholders in both Korean and English.

Good to have

  • Has prior experience as a senior AI/ML specialist solutions architect or technical product manager.
  • Has hands-on experience with HPC/ML orchestration frameworks such as Slurm or Kubeflow.
  • Has practical experience with deep learning frameworks such as PyTorch or TensorFlow.
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Checked 2026-10-19

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