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Lead Director, AI Governance Engineering

United States, Richmond Employment contract 144200.00 - 288400.00 USD / Year · Job Posted July 13, 2026
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Job Description

We're building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. AI adoption across the organization is accelerating, and existing governance processes can add cycle time and rely heavily on manual review. We are building an AI Governance Engineering capability to modernize governance through automation—shifting from approval-heavy workflows to registration-driven workflows with built-in controls, and continuous observability. As Lead Director, AI Governance Engineering, you will create and lead a lean engineering team responsible for delivering governance-as-code: platform-agnostic SDKs, APIs, and automated controls that help teams move faster while ensuring responsible AI guardrails are consistently enforced.

Job Responsibility

  • Automated Use Case Intake & Risk Classification
  • Governance-as-Code Toolkits
  • Enterprise Model & Use Case Registry Integration
  • Self-Service Enablement & Automation
  • Governance for Agentic Automation
  • Leadership & Collaboration

Requirements

  • Experience leading software or platform engineering teams
  • Strong system architecture skills across APIs, automation, CI/CD, and data platforms
  • Experience building developer-facing tools such as SDKs, templates, or automation frameworks
  • Familiarity with ML and Generative AI lifecycles and how governance controls can be validated through automation
  • Ability to translate governance or risk requirements into scalable technical solutions

Nice to have

  • Experience with Responsible AI concepts such as fairness, transparency, explainability, and auditability
  • Experience integrating automated quality gates into Git-based workflows and CI/CD pipelines
  • Background working in regulated or high-trust technology environments

What we offer

  • medical, dental, and vision coverage
  • paid time off
  • retirement savings options
  • wellness programs
  • bonus, commission or short-term incentive program
  • equity award program

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