Director, AI Network & Data Center Engineering

CVS Health

Bismarck (ND)

On-site

USD 144,000 - 288,000

Full time

3 days ago
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Benefits offered by this job

Medical, dental, vision insurance
Paid time off
Retirement savings options
Wellness programs

Job summary

CVS Health is seeking a Lead Director for AI Network & Data Center Engineering to guide strategy, design, and delivery of network infrastructure for enterprise applications and AI/ML workloads. You will lead a high‑performing team, align infrastructure with security needs, and drive modern architectures, automation, and performance optimization across cloud and data centers.

The role requires deep expertise in large-scale networks, GPU‑focused networking, and collaboration with cloud, platform,

Qualifications

  • 10+ years' experience in network and/or data center engineering.
  • 5+ years' experience in a strategic leadership position with people management.
  • 5+ years' experience 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.
  • Ensure alignment with enterprise governance frameworks (HIPAA, NIST, PCI, HITRUST, CSA).
  • Advise executives on network strategy, roadmaps, emerging technologies, and industry trends.
  • Partner with cross‑functional teams to deliver integrated, secure and scalable solutions.
  • Engage vendors on solution architectures, design, contracts, and delivery.

Skills

Network engineering leadership
Data center engineering
Strategic leadership
Enterprise networking
AI/GPU networking
Certifications (CCIE/CCNP, CISSP)
Cloud networking

Education

Bachelor's degree or equivalent experience

Tools

Cisco Nexus/ACI
IaC / automation tools
SDN
BGP/OSPF/MPLS

Job description

CVS Health is seeking a Lead Director for AI Network & Data Center Engineering to guide strategy, design, and delivery of network infrastructure for enterprise applications and AI/ML workloads. You will lead a high‑performing team, align infrastructure with security needs, and drive modern architectures, automation, and performance optimization across cloud and data centers.

The role requires deep expertise in large-scale networks, GPU‑focused networking, and collaboration with cloud, platform,

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