About The Position

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. At CVS Health, our purpose is to deliver better health outcomes by meeting consumers where they are—through local care, digital experiences, and a nationwide team committed to quality, safety, and affordability. Our Solutions Engineering and Infrastructure organization is building an enterprise AI/ML capability that delivers reliable, responsible, and secure AI-powered platforms and solutions at Fortune 5 scale, and this role is foundational to help us develop that capability. This is an experienced individual-contributor role focused on evaluating, documenting, building and scaling GenAI and AI-powered capabilities, contributing to solution design, implementation, and production support in partnership with business partners and senior technical leaders.

Requirements

  • 5+ years of software engineering experience delivering production systems, including modern APIs and application development.
  • 3+ years of experience applying ML/AI concepts in real systems; GenAI exposure (LLMs, RAG, evaluation) strongly preferred.
  • 3+ years of experience delivering solutions in high-scale, high-availability environments with strong security and compliance requirements.

Nice To Haves

  • Proficiency in backend engineering (APIs, services) and comfort contributing across the stack when needed.
  • Working knowledge of LLM application development (prompting, RAG, tool calling) and evaluation practices.
  • Experience with CI/CD, testing, containerization, and basic Kubernetes concepts.
  • Strong debugging and operational skills; ability to improve reliability and performance based on telemetry and root cause analysis.
  • Effective collaboration and communication skills across technical and non-technical stakeholders.

Responsibilities

  • Solution Development & Delivery Implement AI-powered services and application features that integrate enterprise data and systems with LLMs and ML models.
  • Contribute to solution design by proposing approaches, identifying dependencies, and documenting tradeoffs and implementation plans.
  • Deliver features using strong engineering practices: test automation, code review, CI/CD, and operational readiness.
  • GenAI Engineering Practices Build and tune RAG pipelines (retrieval, ranking, grounding) and implement prompt patterns that improve reliability and user experience.
  • Contribute to evaluation suites and regression testing to ensure quality and safety over time.
  • Implement guardrails and security controls (input/output validation, policy filtering, and data protection patterns) under guidance from senior engineers.
  • Reliability, Observability & Support Instrument services with metrics, traces, logs, and dashboards; participate in incident response and post-incident improvements.
  • Support performance and cost optimization efforts (latency, throughput, caching, and model selection).
  • Follow and reinforce platform standards for deployment, versioning, monitoring, and documentation.
  • Collaboration & Continuous Improvement Work closely with product, design, security, and platform teams to refine requirements and deliver customer-focused outcomes.
  • Mentor engineers at earlier career stages and share practical learnings with the broader AI/ML community of practice.
  • Stay current on GenAI and ML platform trends; propose incremental improvements that raise quality and accelerate delivery.

Benefits

  • 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.
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