Senior Machine Learning Engineer - Generative AI & Full-Stack

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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• Bachelor’s degree or equivalent experience (High School Diploma and 4 years relevant experience)

40

Full time

The typical pay range for this role is:

$83,430.00 - $

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…