Senior Machine Learning Engineer - Generative AI & Full-Stack

Key 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.

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

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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 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.

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.

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