Executive Director, AI Infra & Platform Engineering

Koitecc Solutions

Idaho

On-site

USD 175,100 - 334,750

Full time

14 days+

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Benefits offered by this job

Comprehensive benefits package

Job summary

CVS Health is seeking an Executive Director to lead AI infrastructure and platform engineering, standing up and operating a premier on-premises AI compute platform. This greenfield build will span hardware, networking, and orchestration with bare-metal Kubernetes and OpenShift leadership.

You will own the operating model, hire and develop a large team, and drive long-term reliability and performance for frontier AI workloads across multiple sites.

Qualifications

  • 10+ years of engineering leadership experience.
  • Hands-on ownership of bare-metal Kubernetes or OpenShift.
  • Fluency with high-speed cluster fabrics (RoCE v2, InfiniBand, EVPN-VXLAN).
  • 5+ years leading multiple technical teams with 24/7 operations.
  • Experience with operational baselines, SLO/SLI, and observability-driven improvement.

Responsibilities

  • Define and execute long-range vision for AI infrastructure and platform engineering.
  • Own physical AI compute environment, GPU compute, storage and network fabric.
  • Oversee 24/7 operations, incident response, change management and governance.
  • Lead vendor relationships, budget ownership, and strategic initiatives.
  • Ensure security, HIPAA and NIST AI RMF compliance.

Skills

Engineering leadership
Bare-metal Kubernetes
OpenShift
High-speed fabric knowledge
Cross-functional leadership

Education

Bachelor's degree in relevant field

Tools

Kubernetes
OpenShift
NVIDIA HGX/DGX/Blackwell

Job description

CVS Health is seeking an Executive Director to lead AI infrastructure and platform engineering, standing up and operating a premier on-premises AI compute platform. This greenfield build will span hardware, networking, and orchestration with bare-metal Kubernetes and OpenShift leadership.

You will own the operating model, hire and develop a large team, and drive long-term reliability and performance for frontier AI workloads across multiple sites.

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