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

CVS Health is committed to delivering better health outcomes through innovative solutions. They are seeking a Senior Machine Learning Engineer to develop AI-powered capabilities, focusing on solution design, implementation, and production support in partnership with business leaders and technical teams.

Responsibilities:

• 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