Principal Cloud Architect – Hpc/gpu & AI Platform Solutions

Oracle Oracle · Enterprise · Hong Kong

Principal Cloud Architect focused on designing and implementing HPC/GPU and AI platforms on Oracle Cloud Infrastructure (OCI). The role involves pre-sales technical consulting, solution engineering, and supporting customers in deploying agentic AI systems and LLM-based solutions, from POC to production.

What you'd actually do

  1. Architect and deploy large-scale GPU/HPC infrastructure on OCI using tools like Terraform, Ansible, Slurm and Kubernetes.
  2. Build automated solutions for cluster provisioning, software deployment, and infrastructure as code.
  3. Collaborate with Oracle’s largest enterprise customers to define and tailor solutions that meet high-performance compute and AI requirements.
  4. Support LLM-based solutions, agentic AI systems, and robotic AI platforms from design through deployment.
  5. Act as a trusted technical advisor, guiding customers on best practices, cloud migration strategies, and deployment patterns.

Skills

Required

  • GPU and HPC architecture in cloud and on-prem environments
  • Python
  • Bash
  • PowerShell
  • Terraform
  • Ansible
  • SLURM
  • Kubernetes
  • container orchestration
  • RDMA
  • Infiniband
  • MPI
  • distributed file systems
  • Cloud Native experience
  • AI/ML platforms
  • large language models (LLMs)
  • inference serving stacks
  • pre-sales
  • technical consulting
  • customer-facing solution architecture
  • communication skills
  • presentation skills

Nice to have

  • demonstrated thought leadership through publications, speaking engagements, or community contributions
  • Oracle Cloud Infrastructure (OCI)
  • Mandarin

What the JD emphasized

  • architect and deploy complex HPC and GPU clusters, AI platforms, and intelligent agentic solutions
  • support LLM-based solutions, agentic AI systems, and robotic AI platforms

Other signals

  • architect and deploy complex HPC and GPU clusters, AI platforms, and intelligent agentic solutions
  • support LLM-based solutions, agentic AI systems, and robotic AI platforms
  • familiarity with AI/ML platforms, large language models (LLMs), and inference serving stacks