Manager, AI Engineer Claude

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.

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

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
• Bachelor's degree in computer science, Information Systems, Engineering, or a related field, or equivalent work experience
• 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