Executive Director, AI Infrastructure & Platform Engineering

CVS Health

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$175,100–$334,750 / yr
Posted
2 days ago
Closes
Sep 30, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $216k
This role $255k
$156k most similar roles pay here $354k

This role pays more than 79% of similar roles. Most pay $184,937–$246,150 — the shaded band above. At the midpoint, this role pays about $255k versus about $216k for comparable roles.

Based on 240 similar postings.

Employer

About CVS Health

CVS Health is a leading American healthcare company operating retail pharmacies, pharmacy benefit management services, and a health insurance segment through Aetna, one of the nation''s largest health insurers. Industry: Healthcare & Pharmacy

CVS Health currently has 136 open roles on FindRole.

Listed pay typically runs $118,450–$284,280 across 131 roles with salary data.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Executive Director, AI Infrastructure & Platform Engineering

The Executive Director of AI Infrastructure & Platform Engineering at CVS Health is a senior leadership role responsible for establishing and operating a cutting-edge GPU compute platform. This leader will oversee the physical infrastructure, including NVIDIA Blackwell systems and RoCE v2 fabric, while building an SRE practice to ensure high availability and reliability. Key responsibilities include defining long-term strategy, hiring and developing teams, and setting operational standards across hardware, network, storage, and orchestration layers. The ideal candidate has extensive experience in data center-scale infrastructure management, bare-metal Kubernetes/OpenShift operations, and leading technical teams with a focus on observability and security compliance. Preferred qualifications include hands-on GPU cluster operation, NVIDIA AI Enterprise expertise, and healthcare industry knowledge.

What you'll do

  • Define and execute long-range vision and strategy for AI infrastructure with high availability and performance.
  • Recruit, hire, develop, and retain a high-performing engineering team across various technical functions.
  • Establish operational baselines and enforce them across hardware, network fabric, GPU clusters, storage, and operating systems.
  • Build and sustain a 24/7 operations model ensuring sustainable coverage and measurable team health.
  • Direct bare-metal Kubernetes and OpenShift operations, including cluster administration and infrastructure-as-code adoption.

What we're looking for

  • Over 10 years of engineering leadership experience with direct ownership of physical infrastructure at data center scale.
  • Hands-on production ownership of bare-metal Kubernetes or OpenShift, excluding managed cloud services expertise.
  • Expertise in high-speed cluster fabrics like RoCE v2 and operational discipline required for these fabrics.
  • Proven track record leading multiple technical teams, including 24/7 operations with measurable outcomes.
  • Experience establishing and enforcing operational baselines and observability-driven continuous improvement.
  • Background in hardware lifecycle management, vendor accountability, and facility coordination.

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