[Remote] Staff Machine Learning Engineer - Generative AI & Full-Stack Applications

Note: The job is a remote job and is open to candidates in USA. CVS Health is committed to delivering better health outcomes through innovative solutions. The Staff Machine Learning Engineer will play a key role in designing and developing AI-powered healthcare solutions, focusing on generative AI and full-stack applications.

Responsibilities

• 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
• 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
• 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
• 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

Skills

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

Benefits

• CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above
• Award target in the company’s equity award program
• Comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families
• Medical, dental, and vision coverage
• Paid time off
• Retirement savings options
• Wellness programs
• Other resources, based on eligibility

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