Principal Network Engineer - AI Infrastructure

CVS Health

Closes in 3 days Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$144,200–$288,400 / yr
Posted
4 days ago
Closes
Jun 18, 2026 (soon)

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $187k
This role $216k
$120k most similar roles pay here $306k

This role pays more than 70% of similar roles. Most pay $147,750–$227,200 — the shaded band above. At the midpoint, this role pays about $216k versus about $187k 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 152 open roles on FindRole.

Listed pay typically runs $118,450–$260,590 across 149 roles with salary data.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Principal Network Engineer - AI Infrastructure

The Principal Network Engineer – AI Infrastructure is a senior-level role within the organization’s engineering team, responsible for designing and implementing high-performance network solutions that support large-scale AI and GPU-driven workloads. This position involves collaborating with various teams to create integrated infrastructure solutions, ensuring reliability and performance through advanced networking technologies such as leaf-spine fabrics and EVPN/VXLAN overlays. The engineer will also mentor other engineers, provide technical guidance, and contribute to the strategic planning of network architecture, focusing on scalability, security, and resilience. Key skills include extensive experience with Cisco-centric data center fabrics, Palo Alto Networks firewalls, and high-speed networking technologies like 100/200/400Gb+. The role requires a deep understanding of AI infrastructure, including NVIDIA reference architectures and performance optimization for distributed training workloads.

What you'll do

  • Design and implement high-performance data center networks optimized for AI/GPU workloads.
  • Integrate networking with GPU clusters and high-performance storage systems supporting training and inference workloads.
  • Optimize network performance (latency, throughput, congestion) for large-scale distributed environments.
  • Serve as a senior technical authority aligning network designs with industry reference architecture.
  • Lead incident response and resolution for network-related issues, driving root cause analysis and resilience improvements.
  • Define and drive the data center network strategy supporting AI/ML platforms and business initiatives.

What we're looking for

  • 10+ years of network engineering experience with at least 5 in a leadership role.
  • Extensive experience designing and operating large-scale data center networks (leaf-spine/Clos).
  • Expertise in enterprise routing, switching, and Palo Alto Networks firewalls.
  • Experience implementing network security technologies including micro-segmentation.
  • 3+ years supporting AI/ML or GPU-based environments with NVIDIA reference architectures.

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