AI Infrastructure & Platform Engineering Leader

Koitecc Solutions

New York (NY)

On-site

USD 175,100 - 334,750

Full time

14 days+

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Job summary

CVS Health is seeking an Executive Director to lead AI infrastructure and platform engineering. You will own the physical and platform layers of the enterprise AI compute stack, including GPU clusters, networking, storage, and orchestration.

The role requires building the Site Reliability Engineering practice and defining the long-term operating model for the AI infrastructure. You will recruit, hire, and develop a high-performing team, establish baselines, and partner with Finance to govern

Qualifications

  • 10+ years of engineering leadership in data-center-scale infrastructure.
  • Hands-on ownership of bare-metal Kubernetes or OpenShift.
  • Experience with high-speed fabrics (RoCE v2, InfiniBand).
  • Proven ability to deliver 24/7 operations and SRE practices.
  • Executive communication and budget ownership.

Responsibilities

  • Define and execute the long-range vision and strategy for AI infrastructure and platform engineering with high availability and performance as primary metrics.
  • Build and lead a multi-disciplinary team across infrastructure, network, and platform reliability, ensuring architectural rigor.
  • Oversee 24/7 operations, observability, change management, and cost governance for AI compute environments.
  • Ensure security/compliance posture across the stack, including HIPAA and NIST AI RMF alignment.
  • Drive the program transition from launch to permanent CVS-owned operations and establish a long-term operating model.
  • Manage vendor relationships, contracts, and budget ownership across hardware, networking, and managed services.

Skills

Bare-metal Kubernetes
OpenShift administration
RoCE v2 networking
Executive stakeholder comms
Vendor management
GPU infrastructure

Education

Bachelor's degree in Computer Science/Engineering or related field

Tools

OpenShift
Kubernetes
NVIDIA HGX/DGX/Blackwell

Job description

CVS Health is seeking an Executive Director to lead AI infrastructure and platform engineering. You will own the physical and platform layers of the enterprise AI compute stack, including GPU clusters, networking, storage, and orchestration.

The role requires building the Site Reliability Engineering practice and defining the long-term operating model for the AI infrastructure. You will recruit, hire, and develop a high-performing team, establish baselines, and partner with Finance to govern

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