Lead AI Solutions Architect

Key Responsibilities

• Serve as the

  lead technical authority

  for designing and implementing enterprise-grade AI and container platforms.
• Architect solutions aligned with

  Enterprise AI Factory design principles

  and validated infrastructure patterns.
• Lead

  planning, risk management, and stakeholder alignment

  for complex infrastructure deployments.
• Optimize end-to-end workflows across

  container orchestration (Kubernetes, OpenShift)

  and

  HPC workload management (Slurm, PBS Pro)

  .
• Integrate AI platforms with broader enterprise ecosystems and data pipelines.
• Conduct

  PoC engagements

  , validate performance, and ensure production readiness.
• Lead

  technical responses

  for RFPs, RFIs, and other customer engagements.
• Collaborate across Engineering, Product, Sales, and Customer Success to deliver unified solutions.
• Stay ahead of emerging

  AI infrastructure technologies, DevOps practices, and hybrid cloud trends

  .

Required Skills & Experience

• 12-15 years

  of experience in architecting HPC, AI/ML, and hybrid cloud environments.
• Strong expertise in

  HPC technologies

  , including

  Slurm

  ,

  PBS Pro

  , and

  cluster management tools

  .
• Proficiency in

  containerization

  (Docker, Podman, Singularity) and orchestration platforms (

  Kubernetes, OpenShift, SUSE Rancher

  ).
• Solid Linux system administration and

  virtualization skills

  (KVM, OpenShift Virtualization).
• Deep understanding of

  hybrid/multi-cloud architectures

  and

  DevOps automation

  .
• Strong scripting/programming experience in

  Python

  ,

  Bash

  , or equivalent.
• Excellent

  problem-solving, stakeholder management

  , and

  executive communication skills

  .
• Demonstrated ability to act as a

  trusted advisor

  to enterprise customers.