Staff Machine Learning Engineer - Generative AI & Full-Stack Applications

Key Responsibilities

• AI Solution Design & Prototyping Partner with stakeholders to identify, evaluate, document, and shape GenAI use cases (copilots, automation, decision support, and insight generation) with clear success metrics.
• Design solution architectures that integrate LLMs with enterprise systems, data sources, and tool/function calling while meeting latency and reliability expectations.
• Develop prototypes rapidly and validate them through evaluation, red-teaming, and user feedback; document tradeoffs and recommendations.
• Production Engineering & Enterprise Readiness Build production-grade services and full-stack experiences (APIs, UIs, workflows) with secure authentication/authorization, audit logging, and scalable deployment patterns.
• Implement safety, privacy, and compliance controls (e.g., PHI/PII protection, prompt injection defenses, data residency constraints, and policy-based filtering).
• Instrument solutions end-to-end with metrics, traces, logs, and model/app observability; contribute to SLOs, error budgets, and operational runbooks.
• Model Enablement & Evaluation Build and maintain evaluation harnesses for LLM quality, safety, and business outcomes (offline tests, golden sets, regression suites, and online experiments).
• Implement RAG pipelines (chunking, embedding, vector search, reranking) and optimize for accuracy, cost, and latency.
• Collaborate with platform teams on deployment, monitoring, drift/quality detection, and incident response for model-backed services.
• Reusable Components & Engineering Excellence Contribute reusable libraries and patterns for prompt management, retrieval, tool calling, and policy enforcement.
• Participate in design reviews and code reviews; mentor senior and mid-level engineers on GenAI engineering practices.
• Continuously improve developer experience through templates, CI/CD automation, and documentation that accelerates safe adoption.
• Required Qualifications: 7+ years of software engineering supporting Data or AI/ML initiatives, including building and operating production services. 3+ years applying ML/AI in production
• demonstrated hands-on GenAI delivery (LLMs, RAG, evaluation, and safety controls) 3+ years of experience delivering solutions in high-scale, high-availability environments with strong security and compliance requirements.
• Preferred Qualifications Strong full-stack engineering skills (backend services, APIs, and modern web application development) with a focus on reliability and security.
• Hands-on expertise with LLM application patterns: RAG, tool/function calling, prompt management, evaluation, and guardrails.
• Experience with Python and at least one additional backend language; familiarity with common ML libraries and serving frameworks.
• Working knowledge of containerization and Kubernetes, CI/CD, infrastructure-as-code concepts, and production observability.
• Ability to communicate clearly, influence across teams, and translate business needs into implementable technical plans.
• Education: Bachelor’s degree or equivalent experience (High School Diploma and 4 years relevant experience) Pay Range The typical pay range for this role is: $106,605.00 - $284,280.00 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 position also includes an award target in the company’s equity award program.
• 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: 07/08/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.