Senior Software Development Engineer (Angular/NodeJS)

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.

Automated Use Case Intake & Risk Classification · Code and Design unified intake APIs and user experiences that reduce friction and automatically populate metadata and integrate with application registration and provisioning workflows · Implement dynamic intake flows for ML, Generative AI, and agentic use cases. · Deliver automated inherent risk scoring and risk-based routing to provisioning and monitoring workflows. Governance-as-Code Toolkits · Partner with AI Governance Data Scient to develop a platform-agnostic Python/SDK offering automated governance controls such as bias, drift, and AI safety testing. · Integrate governance checks into CI/CD pipelines so evidence is generated during development. 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 for reviewers and auditors. 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 such as prompt filtering, data protection controls, and real-time observability.