Lead Director, AI Governance Engineering

CVS Health

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$144,200–$288,400 / yr
Posted
2 days ago
Closes
Jul 24, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $216k
This role $216k
$127k most similar roles pay here $306k

This role pays less than 55% of similar roles. Most pay $186,609–$246,150 — the shaded band above. At the midpoint, this role pays about $216k versus about $216k 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 136 open roles on FindRole.

Listed pay typically runs $118,450–$284,280 across 131 roles with salary data.

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View all roles at CVS Health

At a glance

TL;DR · Lead Director, AI Governance Engineering

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As Lead Director of AI Governance Engineering, you will lead a lean engineering team to develop platform-agnostic SDKs and APIs that automate governance controls such as bias detection and safety testing, integrating these into CI/CD pipelines for continuous validation. Your responsibilities include designing unified intake APIs to streamline risk classification and provisioning workflows, enabling event-driven ingestion into the enterprise registry, and automating proof-of-concept lifecycles. You will also establish execution safety patterns for agentic automation and collaborate with security teams to implement runtime guardrails. The role requires strong system architecture skills in APIs, CI/CD, and data platforms, experience building developer tools like SDKs, and familiarity with ML governance controls. Preferred qualifications include expertise in Responsible AI concepts and integrating automated quality gates into Git-based workflows. This position aims to simplify and automate AI intake processes while ensuring responsible AI practices are embedded throughout development workflows.

Skills

Python SDK APIs CI/CD Git ML Generative AI Automation Kubernetes Terraform AWS PostgreSQL Docker Prometheus Grafana

What you'll do

  • Design unified intake APIs and user experiences to reduce friction in AI use case registration.
  • Develop platform-agnostic Python SDKs with automated governance controls like bias, drift, and safety testing.
  • Enable event-driven ingestion of model artifacts into the enterprise registry for audit-ready compliance.
  • Expand policy-based routing for low-risk AI use cases to accelerate access to approved environments.
  • Establish execution safety patterns for internal AI agents with permission-scoped actions and runtime guardrails.

What we're looking for

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

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