AI Development Engineer Senior

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Whether you join us in a client-facing role or as part of our brokerage division, our benefits and HR consulting division, or our corporate team, you’ll have the opportunity to grow your career, make an impact, and be part of something bigger. Experience a workplace where you’re encouraged to be yourself, supported to succeed, and inspired to keep learning. That’s what it means to live The Gallagher Way.

The AI Workflow Architect is the person who turns AI agents from promising demos into production workflows that Gallagher colleagues actually use every day. Reporting to the AI Application Development Manager, you will work directly with business users from various divisions to understand how work actually gets done, then design and build the agents and automations - primarily in Microsoft Copilot Studio and Power Platform, grounded in our Azure AI services - that fit into those workflows rather than around them.

Beyond individual builds, you own the strategy and roadmap for operationalizing "maker" AI agents at Gallagher: how agents get evaluated before launch, how they are tested and monitored once live, what metrics get reported and to whom. You will also strategize on emerging Microsoft agent tooling such as Copilot Cowork and Microsoft Scout on how they should be adopted. This is a senior individual contributor role for someone with genuine systems thinking - the ability to see the whole path from a business process, through the agent, to the data and governance underneath it - and the communication skills to make that path clear to a business user, an engineer, or an executive in the organization.

• Design Agent Workflows With Business Users: Sit with colleagues in corporate divisions to map how work actually gets done, identify where an agent adds real value versus where a human decision must stay, and design agent workflows that fit into existing processes and systems of record.
• Build and Productionalize Agents on Copilot Studio and Power Platform: Build agents, topics, connectors, and automations in Microsoft Copilot Studio and Power Platform (Power Automate, Power Apps, Dataverse), and take them through the full path from prototype to supported production solution with proper environments and release discipline.
• Own the Operationalization Strategy and
  
  Roadmap:
  
  Define and maintain Gallagher's roadmap for taking citizen developer AI agents to production - which business workflows come next, what has to be true before an agent goes live, what platform capability is needed to get there.
• Establish How Agents Get Evaluated and Tested: Create the evaluation and testing approach for agents before and after launch: golden question sets, groundedness and accuracy checks, regression testing on changes, red-team style probing for failure modes, and acceptance criteria business owners can sign off on.
• Define and Report the Metrics That Matter: Stand up the measurement and reporting layer for the agent portfolio - adoption, task completion, containment, accuracy, latency, cost, and business outcome - and deliver it as a regular, credible view for the AI Technology leadership team and business sponsors.
• Bridge Copilot Studio and the Azure Stack: Determine when a workflow belongs in low-code Copilot Studio and when it needs the engineering…