Senior Agentic AI Platform Engineer

CVS Health; Connecticut; Hybrid; USD 102,000 - 204,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Paid time off

Retirement savings options

Job summary

CVS Health is hiring a Senior Agentic AI Platform Engineer to join the AI/ML Solutions Delivery organization and build foundational platform capabilities that accelerate enterprise-scale adoption of agentic AI solutions.

The role designs, develops, and operationalizes reusable components, accelerators, pipelines, and harnesses to move products from prototype to production with security, scalability, and governance at the core. 40-hour weeks, full-time.

Qualifications

• 5+ years building AI/ML platforms or enterprise software with ownership.
• 4+ years creating reusable platform capabilities adopted across teams.
• 3+ years hands-on with Google Vertex AI, Azure AI, ServiceNow AI, Databricks or similar.
• 2+ years implementing RAG, agentic AI, vector search and LLM integrations.
• 2+ years designing secure, scalable distributed systems with governance.

Responsibilities

• Design, develop, and maintain reusable platform components and pipelines.
• Own platform lifecycle including architecture, versioning, and production hardening.
• Implement secure-by-design patterns with governance and resiliency.
• Collaborate with architects, product teams, security, and ops to drive adoption.
• Provide technical leadership and mentoring to contractors and interns.

Skills

AI/ML platform development

Reusable platform capabilities

Vertex AI / Azure AI / ServiceNow AI /

RAG architectures

Distributed systems design and AI gov

Education

Bachelor’s degree

Tools

Google Vertex AI

Databricks

Claude

ServiceNow AI

Python

Job description

POSITION SUMMARY

CVS 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

40

TIME TYPE

Full time

PAY RANGE

The typical pay range for this role is: $101,970.00 - $203,940.00 This 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.

BENEFITS

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Additional details about available benefits are provided during the application process and on Benefits Moments.

APPLICATION WINDOW

We anticipate the application window for this opening will close on: 11/30/2026