Senior Agentic AI Platform Engineer

CVS Health

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
CT
Salary
$101,970–$203,940 / yr
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live yesterday
Closes
Nov 30, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $204k
This role $153k
$85k $263k
below market most similar roles pay here above market

This role pays less than 78% of similar roles. Most pay $161,250–$246,150 — the blue band above. At the midpoint, this role pays about $153k versus about $204k for comparable roles.

Based on 240 similar postings.

Employer

About CVS Health

CVS Health is a leading American healthcare company operating retail pharmacies, pharmacy benefit management services, and a health insurance segment through Aetna, one of the nation''s largest health insurers. Industry: Healthcare & Pharmacy

CVS Health currently has 109 open roles on FindRole.

Listed pay typically runs $118,450–$260,590 across 104 roles with salary data.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Senior Agentic AI Platform Engineer

The Senior Agentic AI Platform Engineer joins the AI/ML Solutions Delivery organization to build foundational platform capabilities that accelerate enterprise-scale adoption of agentic AI solutions. This full-stack platform role involves designing, developing, and operationalizing reusable components, accelerators, pipelines, frameworks, and agent harnesses. The engineer will create secure, scalable, and high-performing capabilities, including RAG frameworks, vector-enabled architectures, evaluation frameworks, and orchestration services. Key technologies include Google Vertex AI, ServiceNow AI, Databricks, Claude, Python, APIs, and cloud-native services. The role requires implementing secure-by-design patterns incorporating AI governance, data privacy protections, and prompt injection safeguards. The engineer will own the end-to-end lifecycle of shared platform assets, ensuring they align with engineering standards and enterprise governance requirements while providing technical leadership and coaching to contractor resources and interns.

What you'll do

  • Design and maintain reusable platform components, pipelines, and agent harnesses using Google Vertex AI, Databricks, and Claude.
  • Build foundational capabilities for enterprise AI including RAG frameworks, vector-enabled architectures, and orchestration services.
  • Manage the full lifecycle of shared platform assets including architecture, versioning, production hardening, and performance optimization.
  • Implement secure-by-design patterns incorporating AI governance, data privacy protections, and prompt injection safeguards.
  • Partner with architects and delivery teams to drive platform adoption and provide technical guidance on architectural decisions.
  • Provide technical leadership, coaching, and engineering best-practice guidance to contractor resources and interns.

What we're looking for

  • 5+ years of experience building AI/ML platforms, developer platforms, shared engineering frameworks, or enterprise-scale software solutions.
  • 4+ years of experience developing reusable platform capabilities, accelerators, tooling, or shared services in enterprise environments.
  • 3+ years of hands-on experience building solutions on Google Vertex AI, Azure AI, ServiceNow AI, Databricks, or similar cloud AI platforms.
  • 2+ years of experience designing and implementing RAG, agentic AI architectures, vector search solutions, and LLM integrations.
  • 2+ years of experience designing secure, scalable, highly available distributed systems with AI governance and privacy best practices.
  • Bachelor’s degree from an accredited university or equivalent work experience (HS diploma + 4 years relevant experience).
  • Strong full-stack and Python engineering expertise including FastAPI, Docker, pytest, CI/CD, and cloud-native design (preferred).
  • Experience building agentic AI solutions using Claude, including tool use, orchestration, and multi-step reasoning (preferred).

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