Bringing our heart to every moment of your health.
Senior Machine Learning Engineer - Generative AI & Full-Stack Applications
Location
United States
Posted
20 hours ago
Salary
$83.4K - $222K / year
Seniority
Senior
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 an experienced individual-contributor role focused on evaluating, documenting, building and scaling GenAI and AI-powered capabilities, contributing to solution design, implementation, and production support in partnership with business partners and senior technical leaders.
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.
GenAI Engineering Practices
- 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.
Reliability, Observability & Support
- 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.
Collaboration & Continuous Improvement
- 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.
Required Qualifications
- 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.
Preferred Qualifications
- 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)
Anticipated Weekly Hours
40Time Type
Full timePay Range
The typical pay range for this role is:
$83,430.00 - $222,480.00This 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.
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 our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:
Affordable medical plan options, a 401(k) plan (including matching company contributions), and 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.
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 03/26/2026Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Related Guides
Related Job Pages
More Machine Learning Engineer Jobs
Senior Machine Learning Engineer
CalendlyThe scheduling automation platform for eliminating the back-and-forth emails to find the perfect time — and so much more
The engineer will own AI-powered features end-to-end, from design through deployment, partnering with product, design, and engineering teams to define success metrics. Responsibilities also include troubleshooting deployment pipelines, triaging incidents via monitoring tools, and participating in the on-call rotation.
Machine Learning Engineer designing deep learning models for agricultural robotics systems
Staff Machine Learning Engineer (Remote)
SailPointAt SailPoint, we believe enterprise security must start with identity at the foundation. Today’s enterprise runs on a diverse workforce of not just human but also digital identities—and securing them all is critical. Through the lens of identity, SailPoint empowers organizations to seamlessly manage and secure access to applications and data at speed and scale. Our unified, intelligent, and extensible platform delivers identity-first security, helping enterprises defend against dynamic threats while driving productivity and transformation. Trusted by many of the world’s most complex organizations, SailPoint secures the modern enterprise.
The Staff Machine Learning Engineer will design and build scalable ML systems, mentor engineers, and drive AI strategy at SailPoint, focusing on AI-powered identity security solutions.
Senior Machine Learning Engineer
CalendlyThe scheduling automation platform for eliminating the back-and-forth emails to find the perfect time — and so much more
Senior Machine Learning Engineer building AI products at Calendly



