Principal Engineer, Technology Transformation & AI Enablement

CVS Health

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Rhode Island
Salary
$144,200–$288,400 / yr
Employment
Full-time
Posted
5 days ago
Freshness
Confirmed live today
Closes
Dec 31, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $236k
This role $216k
$127k $306k
below market most similar roles pay here above market

This role pays more than 58% of similar roles. Most pay $199,500–$272,175 — the blue band above. At the midpoint, this role pays about $216k versus about $236k 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 119 open roles on FindRole.

Listed pay typically runs $106,605–$260,590 across 115 roles with salary data.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Principal Engineer, Technology Transformation & AI Enablement

The Principal Engineer, Technology Transformation & AI Enablement joins the Aetna Technology team as a strategic technical leader. This role focuses on accelerating modernization, improving engineering effectiveness, and enabling responsible AI adoption across a complex enterprise technology portfolio. The individual will develop modernization roadmaps, establish technology standards, and guide engineering teams in transitioning legacy systems to cloud-native architectures. Key responsibilities include promoting DevSecOps practices, CI/CD pipelines, and engineering automation while identifying opportunities for AI-assisted software development. Required skills include expertise in distributed systems, platform engineering, and software architecture. The role specifically addresses the technical challenge of transforming large-scale legacy application portfolios into scalable, resilient, and maintainable systems while establishing governance frameworks for emerging technologies like generative AI, retrieval-augmented generation, and agentic workflows.

What does a Engineer earn in Remote?

Median $199471 from 30 postings across 16 companies.

See salary data

What you'll do

  • Develop modernization roadmaps to transition legacy systems to cloud-native architectures and platform-based services.
  • Translate enterprise technology standards into actionable engineering guidance and implementation patterns for various business domains.
  • Establish and promote engineering standards, reference architectures, and reusable technology patterns across the organization.
  • Identify and implement AI technologies to improve engineering productivity, automation, and operational effectiveness.
  • Create governance frameworks and guardrails for the responsible adoption of emerging AI technologies.
  • Lead technical design discussions and architecture reviews to ensure security, resiliency, and performance.
  • Mentor senior engineers and architects while leading technical communities of practice and knowledge-sharing initiatives.
  • Serve as a technical escalation point for complex architectural challenges and modernization hurdles.

What we're looking for

  • 10+ years of experience in software engineering, software architecture, platform engineering, or related technical leadership roles.
  • 5+ years of experience leading large-scale technology modernization, transformation, cloud adoption, or enterprise architecture initiatives.
  • Deep expertise in enterprise application architecture, software engineering practices, distributed systems, and modern software delivery methodologies.
  • Experience partnering with architecture and engineering organizations to drive enterprise technology strategy and execution.
  • Experience implementing DevSecOps practices, CI/CD pipelines, engineering automation, and developer productivity solutions.
  • Experience evaluating and enabling AI-assisted engineering capabilities and emerging technology adoption.
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical field, or equivalent combination of education and practical experience.
  • Master's degree in Computer Science, Engineering, Information Technology, Business Technology, or a related discipline (preferred).

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