Director, AI Network & Data Center Engineering

CVS Health

Salt Lake City (UT)

On-site

USD 144,000 - 288,000

Full time

3 days ago
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Job summary

CVS Health is seeking a Lead Director to drive AI network and data center engineering, focusing on strategy, design, and delivery of high-performance networking for enterprise apps and AI/ML workloads. You will guide a team of engineers, align infrastructure with security needs, and partner with cloud and cybersecurity leaders to enable scalable GPU environments and modern platforms.

The role emphasizes architecture standards, automation, and IaC, with a focus on reliability, cost-efficiency,

Qualifications

  • 10+ years in network/data center engineering
  • 5+ years in strategic leadership with people management
  • 5+ years in large-scale enterprise environments

Responsibilities

  • Define and enforce network architecture standards, security controls, and compliance policies
  • Establish best practices for configuration, deployment, and operations
  • Advise executives on network strategy, roadmaps, and industry trends
  • Partner with cross-functional teams (platform, cloud, security, infra) to deliver secure, scalable solutions
  • Design and implement data center fabrics and GPU-optimized networking
  • Oversee 24/7 network operations and incident response
  • Build and mentor high-performing engineering teams

Skills

Strategic leadership
Network engineering
Enterprise-scale experience

Education

Bachelor's degree or equivalent

Tools

Cisco Nexus/ACI
IaC
SDN
Cloud networking

Job description

CVS Health is seeking a Lead Director to drive AI network and data center engineering, focusing on strategy, design, and delivery of high-performance networking for enterprise apps and AI/ML workloads. You will guide a team of engineers, align infrastructure with security needs, and partner with cloud and cybersecurity leaders to enable scalable GPU environments and modern platforms.

The role emphasizes architecture standards, automation, and IaC, with a focus on reliability, cost-efficiency,

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