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

https://www.cvshealth.com/ Logo

CVS Health

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Location:
United States

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

106605.00 - 284280.00 USD / Year
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Job Description:

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 a senior individual-contributor role, focused on identifying evaluating and documenting high-value use cases, designing and prototyping AI-powered solutions, and evolving them into secure, resilient, enterprise-ready products and platform components.

Job Responsibility:

  • 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

Requirements:

  • 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)

Nice to have:

  • 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
What we offer:
  • Affordable medical plan options
  • a 401(k) plan (including matching company contributions)
  • an employee stock purchase plan
  • No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
  • paid time off
  • flexible work schedules
  • family leave
  • dependent care resources
  • colleague assistance programs
  • tuition assistance
  • retiree medical access

Additional Information:

Job Posted:
March 24, 2026

Expiration:
March 27, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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