Manager, AI Engineer Claude

CVS Health•Island, KY

2d•$83,430 - $203,940•Onsite

About The Position

CVS Health is looking for a Manager, AI Engineer to join our team and serve as a hands-on technical contributor driving the adoption and expansion of the Anthropic Claude platform across the enterprise. You will design and build AI-powered integrations, workflows, and tooling that connect Claude to the systems and data our teams rely on every day. This is a technical role for an engineer who wants to work at the forefront of enterprise AI.

Requirements

5+ years of experience in software engineering or a related technical discipline
2+ years of experience using Python and/or JavaScript, with hands-on experience building and consuming APIs
1-2 years of experience with Model Context Protocol (MCP), including building or configuring MCP servers and tools
1-3 years’ experience with agentic AI patterns, prompt engineering, and working with large language models in production
1-3 years’ experience with the Anthropic Claude platform inclusive of Claude Code and Claude Chat
Must be able to work east coast business hours

Nice To Haves

Ability to communicate technical concepts clearly to non-technical stakeholders
Experience in healthcare or a highly regulated industry
Familiarity with enterprise security and governance considerations around AI
Strong debugging and problem-solving skills across distributed systems and API-driven architecture
Experience integrating AI or SaaS platforms with enterprise systems and internal tooling

Responsibilities

Design, build, and maintain integrations between the Anthropic Claude platform and enterprise systems using the Claude API and MCP servers
Develop and manage MCP server configurations to extend Claude's capabilities and connect it to internal tools, databases, and third-party services
Build and optimize prompt pipelines, agentic workflows, and automations that solve real business problems at scale
Evaluate and implement integration patterns for connecting Claude to enterprise platforms such as Slack, Microsoft 365, Jira, and internal data sources
Troubleshoot complex technical issues across the AI stack, from API behavior to MCP tool execution
Write clean, well-documented code and contribute to shared standards for how the team builds on top of Claude
Test and iterate on AI workflows to improve reliability, performance, and output quality
Stay current on Anthropic platform updates, new model capabilities, and the evolving MCP ecosystem