Lead Solution Architect - AI Infrastructure & Private Cloud

• Kubernetes Platforms

  :
• Proficiency in

  container orchestration platforms

  , especially

  Red Hat OpenShift

  ,

  SUSE Rancher

  , and

  CNCF Kubernetes

  .
• Experience with

  GPU-accelerated workloads

  and tools like

  NVIDIA GPU Operator

  and

  DCGM

• Proven ability to integrate Kubernetes with AI/ML workloads and GPU infrastructure in hybrid or private cloud environments.

• HPC Experience

  :
• Experience architecting HPC clusters, including GPU/compute nodes and HPC storage technologies (e.g., Lustre, WEKA, Parallel Filesystems).
• Understanding of

  high-speed networking

  (e.g., InfiniBand, Mellanox, RoCE)
• Experience with HPC cluster management tools such as HPE Cluster Management (HPCM) or NVIDIA Base Command Manager.
• Familiarity with

  HPC

  workload schedulers like

  Slurm

  or

  Altair PBS Pro

  .

• Infra & Hardware Stack

  :
• Strong background in Linux system administration (RHEL / SLES /Ubuntu) and virtualization (KVM or OpenShift Virtualization).
• Primary focus on HPE servers and storage; experience with Dell, Lenovo, Supermicro, NVIDIA DGX/HGX platforms is acceptable.
• Solid understanding of compute, storage, and networking fundamentals in enterprise environments.

• AI Platform Enablement

  :
• Experience deploying and supporting

  NVIDIA AI Enterprise

  and related AI/ML frameworks.
• Familiarity with DevOps/MLOps practices, including CI/CD, Infrastructure as Code (IaC), and cloud-native security.

• Project Delivery

  :
• Demonstrated success in infrastructure project delivery, including platform build-outs for AI/ML and HPC workloads.
• Ability to collaborate with cross-functional teams and align technical solutions with business goals.

Trainability Clause

• Candidates with

  strong Kubernetes or HPC and AI/ML experience

  but limited infrastructure hardware exposure may be considered if they demonstrate trainability in server and platform environments.

Delivery Scope

• This is a delivery-focused role with limited presales involvement.
• The architect will be responsible for designing and building platforms, especially HPE Private Cloud AI and HPE AI Factory solutions, to support enterprise-grade AI workloads.

  Role & responsibilities

Preferred candidate profile

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