Senior Software Development Engineer (Angular/NodeJS)

CVS Health; Irving (TX); On-site; USD 92,700 - 185,400; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Paid time off

Retirement options

Wellness programs

Job summary

CVS Health is hiring for an AI Governance Engineering role. You will build governance-as-code, platform-agnostic SDKs, APIs, and automated controls to accelerate AI adoption while enforcing guardrails across the organization.

You will collaborate across teams to create dynamic intake, risk scoring, and registry integration, delivering automated checks, reusable tooling, and observability to ensure responsible AI in production environments.

Qualifications

• Experience developing software at scale.
• Strong knowledge of system architecture 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.

Responsibilities

• Code unified intake APIs and UX to auto-fill metadata and integrate with provisioning workflows.
• Design dynamic intake flows for ML, Generative AI, and agentic use cases.
• Deliver automated inherent risk scoring and risk-based routing to provisioning and monitoring.
• Develop platform-agnostic Python/SDK tools for automated governance checks (bias, drift, safety).
• Integrate governance checks into CI/CD pipelines to generate evidence.
• Ingest intake data and model artifacts into the enterprise registry.
• Generate audit-ready artifacts and APIs for reviewers and auditors.
• Expand policy-based routing for low- and high-risk AI use cases.
• Automate proof-of-concept lifecycle patterns and accelerate access to AI environments.
• Define execution safety patterns for internal AI agents and permission-scoped actions.
• Work with information security on runtime guardrails: prompt filtering, data protection, observability.

Skills

Software at scale

System architecture

SDKs/templates

ML governance lifecycle

Education

Bachelor's degree or equivalent (Math/CS/Analytics)

Master's degree preferred

Tools

Python/SDKs

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.

Position Summary

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.

Key Responsibilities

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.

Required Qualifications

• 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.

Preferred Qualifications

• 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

Education

Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Analytics, Engineering, or related discipline. Master's degree preferred

What Success Looks Like

• AI intake processes are simpler, faster, and largely automated.
• Engineering teams have reusable SDKs and templates that make responsible AI the default.
• Validation of controls shifts from self-reporting to automated checks and evidence.
• Centralized observability provides real-time insight into AI usage, performance, and risk.

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:
$92,700.00 - $185,400.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 08/21/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.