AI Solutions Architect

Welcome to Gallagher - a global community of people who bring bold ideas, deep expertise, and a shared commitment to doing what’s right. We help clients navigate complexity with confidence by empowering businesses, communities, and individuals to thrive. At Gallagher, you’ll find more than a job; you’ll find a culture built on trust, driven by collaboration, and sustained by the belief that we’re better together.

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 Solutions Architect decides the technical shape of AJ Gallagher's AI solutions before they are built, and makes sure that shape holds up once they are live. Reporting to the Director of AI Technology, you will take business problems from divisons or departments and turn them into architectures the team can deliver - choosing the right pattern (RAG, agent, workflow, or no AI at all), the right platform (pro-code on Microsoft Foundry or low-code in Copilot Studio), and the right integration, identity, and data design for a regulated, global insurance business.

You will own the reference architectures and architecture decisions that Gallagher's AI solutions build on, partnering with the senior AI Engineering, who owns engineering standards and delivery, and with Gallagher's enterprise architecture, security, and data teams. This is a hands-on technical role for someone whose curiosity runs deep: you will prototype to test an idea rather than diagram it from a distance, and you will follow a fast-moving Azure AI platform closely enough to know which new capability solves a real Gallagher problem and which one isn't ready yet.

• Shape Solutions From Business Problems:Lead technical discovery with business stakeholders and the AI Business Analyst, turning ambiguous requests into solution options with clear trade-offs, feasibility, effort, and run-cost estimates - including recommending against AI when a simpler answer fits better.
• Own Reference Architectures:Define and maintain Gallagher's reference architectures for RAG, single and multi-agent systems, and Copilot extensibility on Microsoft Foundry, Azure OpenAI, Azure AI Search, Cosmos DB, and Azure compute, so every new solution starts from proven, approved patterns.
• Make, Record, and Explain Architecture Decisions:Make the platform and pattern calls — model selection, retrieval design, agent setup, datastore choice, messaging, hosting — and record them as architecture decision records (ADRs) with the reasoning, the alternatives, and the conditions under which the decision should be revisited; explain them to executives and engineers in terms each can act on.
• Design Governance and Data Residency In:Build Gallagher's compliance requirements into the architecture itself
  - Entra /RBAC and managed identity, Azure Policy, private networking, Standard (Regional) or Data Zone Standard model deployments, Foundry agent setup with Gallagher-owned storage, audit logging, and human-in-the-loop checkpoints aligned to internal AI governance expectations.
• Prove Ideas With Working Prototypes:Build proofs of concept and technical spikes in Python and C#/.NET that test a design's riskiest assumptions - retrieval quality, latency, cost, platform limits - before the team commits to building it.
• Run Architecture Reviews:Review solution designs from AI developers, the AI Workflow Architect, and partner…