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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 a hands-on software developer in AI Governance Engineering team, you will create software and AI Agents 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: Code and Design unified intake APIs and user experiences
Implement dynamic intake flows for ML, Generative AI, and agentic use cases
Deliver automated inherent risk scoring and risk-based routing
Governance-as-Code Toolkits: Partner with AI Governance Data Scientist to develop a platform-agnostic Python/SDK offering automated governance controls
Integrate governance checks into CI/CD pipelines
Enterprise Model & Use Case Registry Integration: Enable event-driven ingestion of intake data and model artifacts into the enterprise registry
Support automated generation of audit-ready compliance artifacts and APIs
Self-Service Enablement & Automation: Expand policy-based routing for low- and high-risk AI use cases
Automate proof-of-concept lifecycle patterns and accelerate access to approved AI environments
Governance for Agentic Automation: Establish execution safety patterns for internal AI agents, including permission-scoped actions
Partner with information security to implement runtime guardrails
Requirements:
Experience developing software at scale
Good knowledge of 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
Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Analytics, Engineering, or related discipline
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
Ability to translate governance or risk requirements into scalable technical solutions
Master's degree preferred
What we offer:
Affordable medical plan options
401(k) plan (including matching company contributions)
Employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching