Integration Engineering Manager

Overview

In this role, you own and shape the AI Enablement Integration capability to securely enable enterprise AI adoption across global teams. You lead a distributed MuleSoft engineering team and collaborate with product, data, security, and architecture functions to transform APIs and integrations into reusable, agent-ready assets. You’ll drive scalable, compliant integration patterns and oversee production-grade delivery for AI-enabled workflows in a regulated healthcare environment. This is a strategic, cross-functional leadership role with a clear impact on enterprise AI readiness and operational resilience. You will partner with diverse stakeholders to move AI pilots toward governed, scalable,

Responsibilities

• Own the AI Enablement Integration roadmap and align it with enterprise AI strategy and governance.
• Lead design and delivery of agent-ready APIs, MCP-enabled tools, and integration services that support AI agents and automation platforms.
• Provide architectural guidance on multi-system orchestration, human-in-the-loop controls, and event-driven automation.
• Build and mentor a globally distributed MuleSoft engineering team; foster cross-functional collaboration across Product, Data, Security, EA, and Platform teams.
• Ensure reliability, security, observability, and compliance of production APIs and integration services; drive CI/CD practices and operational runbooks.

Key requirements

• Experience leading a global MuleSoft engineering team.
• Proficiency with MuleSoft Anypoint Platform, AI Gateway, MCP, and MuleSoft Agent Fabric.
• Strong ability to translate AI use cases into scalable integration capabilities.
• Knowledge of security, privacy, and compliance requirements in regulated healthcare environments.

• Strategic thinking
• Cross-functional collaboration
• Mentorship and team development
• MuleSoft Anypoint Platform
• MuleSoft AI Gateway
• Model Context Protocol (MCP)

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