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.
POSITION SUMMARYCVS Health is hiring a Senior Agentic AI Platform Engineer to join the AI/ML Solutions Delivery organization and build the foundational platform capabilities that accelerate enterprise-scale adoption of agentic AI solutions. The Senior Agentic AI Platform Engineer will serve as a full-stack platform engineer, designing, developing, and operationalizing reusable components, accelerators, pipelines, frameworks, and agent harnesses that enable product delivery teams to move from prototype to production more efficiently. Leveraging technologies including Google Vertex AI, ServiceNow AI, Databricks, Claude, Python, APIs, and cloud-native services, the Senior Agentic AI Platform Engineer will create secure, scalable, resilient, and high-performing platform capabilities that can be adopted across multiple AI use cases. This role owns the end-to-end lifecycle of shared platform assets and works closely with AI Solutions Architects and Product Delivery teams to ensure platform investments align with business needs, engineering standards, and enterprise governance requirements. The Senior Agentic AI Platform Engineer also provides technical leadership, coaching, and engineering best-practice guidance to contractor resources and interns.
KEY RESPONSIBILITIES
- Design, develop, and maintain reusable platform components, accelerators, pipelines, agent harnesses, and shared services using a combination of pre-built frameworks and custom-developed software across Google Vertex AI, ServiceNow AI, Databricks, and Claude-based ecosystems.
- Build foundational capabilities supporting enterprise AI development, including RAG frameworks, vector-enabled architectures, evaluation frameworks, orchestration services, model integration patterns, and reusable engineering accelerators.
- Own platform capabilities throughout their lifecycle, including architecture, versioning strategy, production hardening, performance optimization, adoption support, and continuous enhancement while making and defending key technical trade-offs.
- Implement secure-by-design platform patterns incorporating AI governance, access controls, data privacy protections, prompt injection safeguards, resiliency mechanisms, failover strategies, and graceful degradation capabilities.
- Partner with AI Solutions Architects, Product Delivery teams, Architecture, Security, and Operations organizations to drive platform adoption, provide onboarding and technical guidance, communicate architectural decisions and trade-offs to engineering teams and senior leadership, and mentor interns and contractor resources.
REQUIRED QUALIFICATIONS
- 5+ years building AI/ML platforms, developer platforms, shared engineering frameworks, or enterprise-scale software solutions with increasing technical ownership and responsibility.
- Proven success over 4+ years developing reusable platform capabilities, accelerators, tooling, or shared services that achieved adoption across multiple engineering teams within enterprise environments.
- 3+ years of hands-on experience building solutions on Google Vertex AI, Azure AI, ServiceNow AI, Databricks, or similar cloud AI platforms supporting production workloads.
- 2+ years designing and implementing retrieval-augmented generation (RAG), agentic AI architectures, vector search solutions, and large language model integrations.
- 2+ years designing secure, scalable, highly available distributed systems while applying AI governance, privacy, resiliency, and operational reliability best practices in fast-paced delivery environments.
PREFERRED QUALIFICATIONS
- Strong full-stack and Python engineering expertise including production-grade development, API and microservice architecture, FastAPI, Docker, pytest, CI/CD practices, and cloud-native application design.
- Experience building agentic AI solutions utilizing Claude or similar large language models, including tool use, function calling, agent orchestration, Model Context Protocol (MCP), and multi-step reasoning patterns.
- Knowledge of prompt engineering, context engineering, retrieval engineering, chunking strategies, embedding models, vector databases such as pgvector, retrieval tuning, reranking, caching strategies, and evaluation frameworks.
- Familiarity with document ingestion and parsing frameworks such as Docling or Unstructured, data engineering practices including SQL, schema migration tooling, ETL pipelines, and bronze, silver, and gold data architectures.
- Experience supporting healthcare, pharmacy, cybersecurity, AIOps, or other regulated environments, with exposure to MLOps, LLMOps, Cloud SQL, Cloud Functions, IAM, and the ability to apply pragmatic technical judgment when selecting between AI-powered and traditional automation approaches.
EDUCATION
Bachelor’s degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience).
BUSINESS OVERVIEW
Bring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.
Anticipated Weekly Hours
40Time Type
Full timePay Range
The typical pay range for this role is:
$101,970.00 - $203,940.00This 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 offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
Additional details about available benefits are provided during the application process and on Benefits Moments.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Skills Required
- 5+ years building AI/ML platforms, developer platforms, shared engineering frameworks, or enterprise-scale software solutions with increasing technical ownership and responsibility.
- 4+ years developing reusable platform capabilities, accelerators, tooling, or shared services adopted across multiple enterprise engineering teams.
- 3+ years of hands-on experience with Google Vertex AI, Azure AI, ServiceNow AI, Databricks, or similar cloud AI platforms supporting production workloads.
- 2+ years designing and implementing retrieval-augmented generation, agentic AI architectures, vector search solutions, and large language model integrations.
- 2+ years designing and implementing secure, scalable, highly available distributed systems with AI governance, privacy, resiliency, and operational reliability practices.
- Bachelor's degree from an accredited university or equivalent work experience; alternatively, high school diploma plus 4 years of relevant experience.
- Full-stack and Python engineering expertise, including production development, API and microservice architecture, FastAPI, Docker, pytest, CI/CD, and cloud-native application design.
- Experience building agentic AI solutions with Claude or similar large language models, including tool use, function calling, orchestration, Model Context Protocol, and multi-step reasoning.
- Knowledge of prompt engineering, context engineering, retrieval engineering, chunking, embedding models, vector databases, retrieval tuning, reranking, caching, and evaluation frameworks.
- Familiarity with document ingestion and parsing frameworks such as Docling or Unstructured, SQL, schema migration tooling, ETL pipelines, and bronze, silver, and gold data architectures.
- Experience supporting healthcare, pharmacy, cybersecurity, AIOps, or other regulated environments, with exposure to MLOps, LLMOps, Cloud SQL, Cloud Functions, and IAM.
CVS Health Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CVS Health and has not been reviewed or approved by CVS Health.
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Healthcare Strength — Health coverage includes medical, dental, and vision with HSA-eligible options, free preventive care, virtual care, and access to MinuteClinic services. Mental-health resources such as counseling support are emphasized, and coverage is often considered solid for full-time colleagues.
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Retirement Support — A dollar-for-dollar 401(k) match up to 5% after one year and an Employee Stock Purchase Plan are consistently highlighted in Total Rewards materials. Feedback suggests retirement programs are a meaningful strength within the overall package.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings include up to 20 no-cost counseling sessions per issue, backup care, tuition assistance, and substantial in-store discounts, alongside broader wellness tools. These everyday perks expand value beyond base pay and can be especially meaningful for full-time schedules.
CVS Health Insights
What We Do
CVS Health is the leading health solutions company that delivers care in ways no one else can. We reach people in more ways and improve the health of communities across America through our local presence, digital channels and our nearly 300,000 dedicated colleagues – including more than 40,000 physicians, pharmacists, nurses and nurse practitioners. Wherever and whenever people need us, we help them with their health – whether that’s managing chronic diseases, staying compliant with their medications, or accessing affordable health and wellness services in the most convenient ways. We help people navigate the health care system – and their personal health care – by improving access, lowering costs and being a trusted partner for every meaningful moment of health. And we do it all with heart, each and every day.
