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Insulet

Integration Engineering Manager

LocationLondon, United Kingdom
Work modehybrid
Typefull-time
Company size1,001–5,000 people
First seen1w ago
Last seen1d ago
About the role
Job Summary
Be part of a fast-growing, innovative company pioneering “Liveable Technology” to transform diabetes care. We’re hiring a MuleSoft Integration Manager – AI Enablement to lead the integration capability that enables secure, governed, and scalable enterprise AI adoption.
This role will be based in the United Kingdom and will partner closely with global technology, product, data, security, and business teams to make enterprise systems, APIs, and data safely available to AI agents, automation platforms, and intelligent business workflows.
This capability is responsible for advancing Insulet’s AI enablement foundation through MuleSoft Anypoint Platform, MuleSoft AI Gateway, Model Context Protocol (MCP), MuleSoft Agent Fabric, API-led connectivity, event-driven integration, and secure agent-to-system orchestration. The role will help transform existing enterprise APIs and integrations into trusted, reusable, agent-ready assets that support automation, productivity, customer experience, and operational intelligence.
As a member of the Integration leadership team, this manager will own the AI Enablement Integration portfolio, lead a globally distributed MuleSoft engineering team, and partner with Enterprise Architecture, AI/ML, Salesforce, Data, Security, Product, and Platform teams to design and operate the integration layer for the agentic enterprise in a highly regulated healthcare environment.
Global AI Enablement & Collaboration Model
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Serve as a primary integration leader for enterprise AI enablement across the UK, EMEA, U.S., and global markets.
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Partner with AI, Salesforce, Data, Product, Security, Enterprise Architecture, SRE, and MuleSoft CoE teams to establish reusable agent-ready integration patterns.
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Enable secure access to enterprise systems and APIs through MCP servers, AI Gateway policies, governed API products, and reusable integration services.
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Support global delivery and follow-the-sun operational readiness for business-critical AI-enabled workflows.
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Act as a bridge between business ambition and technical execution, helping teams move from AI pilots to governed, production-grade AI capabilities.
AI Enablement Capability Ownership
This role owns the end-to-end integration capability that enables enterprise AI agents, copilots, automation platforms, and intelligent workflows to securely discover, access, and act on enterprise systems and data.
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MuleSoft AI Gateway and secure AI traffic management
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Model Context Protocol (MCP) enablement for enterprise APIs and tools
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MuleSoft Agent Fabric adoption, including tool discovery, agent governance, and agent-to-system orchestration
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Agent-ready API products, reusable integration assets, and governed API catalogs
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AI-enabled integration patterns across Salesforce, Data, ERP, customer, operational, and platform domains
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Observability, policy enforcement, auditability, and compliance for AI-driven integration flows
The manager will oversee a broad portfolio of APIs, connectors, MCP-enabled tools, and integration services, ensuring that AI agents and automation platforms can interact with enterprise systems in a way that is secure, observable, reusable, scalable, and compliant.
Key Responsibilities
AI Enablement Leadership & Strategy
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Own the AI Enablement Integration roadmap, aligning MuleSoft capabilities with enterprise AI strategy, business priorities, and platform governance.
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Define how MuleSoft, APIs, MCP, AI Gateway, and Agent Fabric enable secure, reusable, and governed AI adoption across the enterprise.
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Partner with Product, Data, Salesforce, Security, and Architecture leaders to translate AI use cases into scalable integration capabilities.
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Drive adoption of API-led connectivity, Domain-Driven Design, agent-ready API design, and composable integration patterns.
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Balance innovation, speed-to-value, security, compliance, operational resilience, and long-term platform sustainability.
Agentic Integration Delivery & Design Oversight
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Oversee design and implementation of System, Process, Experience, and Agent-ready APIs that expose enterprise capabilities safely to AI agents and automation platforms.
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Lead implementation patterns for MCP servers, tool registration, agent action enablement, AI Gateway routing, policy enforcement, and agent-to-system orchestration.
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Ensure AI-enabled integrations follow strong standards for identity, consent, access control, data minimisation, rate limiting, observability, and auditability.
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Provide architectural guidance on complex use cases involving multi-system orchestration, agent workflows, human-in-the-loop controls, and event-driven automation.
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Ensure alignment with enterprise reference architectures, integration governance, security standards, and regulated industry expectations.
Team Leadership & Development
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Lead and mentor a team of MuleSoft engineers delivering AI enablement, API, MCP, and agentic integration capabilities.
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Build engineering fluency in AI integration patterns, agent-ready API design, MuleSoft AI capabilities, secure-by-design delivery, and production operations.
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Enable strong collaboration between delivery, MuleSoft CoE, Enterprise Architecture, AI/ML, SRE, Security, and production support teams.
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Set expectations for quality, operational ownership, reuse, documentation, and cross-regional collaboration.
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Foster a culture of innovation, accountability, continuous improvement, responsible AI adoption, and learning.
Platform & Operational Excellence
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Ensure reliability, scalability, and performance of production APIs and integration services supporting AI-enabled business workflows.
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Oversee CloudHub 2.0, Flex Gateway, API Manager, Anypoint Monitoring, Exchange, and CI/CD practices for AI-enabled integration delivery.
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Drive best practices for error handling, retries, idempotency, throttling, resiliency, traffic management, and graceful failure modes.
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Partner with SRE and DevOps teams on observability, capacity planning, incident management, and operational runbooks for agent-driven workloads.
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Establish measurable engineering standards for reuse, automation, deployment quality, policy compliance, and production readiness.
Security, Quality & Compliance
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Ensure AI-enabled integrations comply with GDPR, HIPAA, SOX, security, privacy, and regulated healthcare requirements.
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Partner with Security and Architecture teams to enforce responsible AI guardrails, least-privilege access, policy-based governance, and secure agent-to-tool interactions.
About the company
Insulet Corporation (NASDAQ: PODD), headquartered in Massachusetts, is an innovative medical device company dedicated to simplifying life for people with diabetes and other conditions through its Omnipod product platform. The Omnipod Insulin Management System provides a unique alternative to traditional insulin delivery methods. With its simple, wearable design, the tubeless disposable Pod provides up to three days of non-stop insulin delivery, without the need to see or handle a needle. Insulet’s flagship innovation, the Omnipod 5 Automated Insulin Delivery System, integrates with a continuous glucose monitor to manage blood sugar with no multiple daily injections, zero fingersticks, and can be controlled by a compatible personal smartphone in the U.S. or by the Omnipod 5 Controller. Insulet also leverages the unique design of its Pod by tailoring its Omnipod technology platform for the delivery of non-insulin subcutaneous drugs across other therapeutic areas. For more information, please visit insulet.com and omnipod.com.
We are looking for highly motivated, performance-driven individuals to be a part of our expanding team. We do this by hiring amazing people guided by shared values who exceed customer expectations. Our continued success depends on it!
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