Senior AI Engineering LeadThe Senior AI Engineering Lead owns the technical delivery of enterprise AI solutions at AJ Gallagher. Reporting to the Director of AI, you will lead the design, build, and deployment of production AI systems - RAG pipelines, agentic workflows, and Copilot integrations - on our Azure and.NET/Python stack. You will set engineering standards for a growing AI team, mentor developers, and partner directly with business units to turn ambiguous problems into shipped, governed, production-grade AI products in a regulated insurance environment.How You'll Make An ImpactTranslate Business Problems Into Technical SolutionsOwn AI Solution ArchitectureLead Hands-On DeliverySet Engineering StandardsMentor And Grow EngineersShip To Enterprise SurfacesBuild Governance InDrive Evaluation And ReliabilityCommunicate Up And AcrossAbout YouExperience: 7 or more years in software engineering, including experience in building LLM/GenAI systems in production and 2+ years leading engineers or owning technical direction.Azure Depth: Hands-on production experience with Microsoft Foundry, Azure OpenAI Service, Azure AI Search, and Azure compute (Functions, Container Apps, or App Service).Languages: Strong.NET/C# plus working proficiency in Python; able to review and contribute in both.GenAI Engineering: Proven delivery of RAG architectures, agent orchestration (Microsoft Agent Framework, Semantic Kernel, or LangChain), and prompt/evaluation pipelines.API And Integration Skills: Designing secure REST APIs and event-driven integrations (Azure API Management, Service Bus) within an enterprise identity model (Entra ID, RBAC).Delivery Discipline: Agile experience with Azure DevOps (or equivalent) - backlogs, CI/CD, automated testing, and release management.Leadership: Track record of mentoring engineers, running design reviews, and owning technical decisions across multiple concurrent initiatives.Preferred DifferentiatorsRegulated Industry Experience: Prior AI/ML delivery in insurance, financial services, or healthcare, with familiarity with model risk management or responsible AI guidance.Familiarity with AI-enabled and spec-driven development: Using AI-assisted tooling and agent workflows across the SDLC to quickly deliver production-grade systems.Experience with Infrastructure-as-Code: Building applications tightly aligned to Terraform-deployed, optimized infrastructure.Evaluation and MLOps Maturity: Built LLMOps tooling - automated evals, red-teaming, drift/cost monitoring - at enterprise scale.Architecture Credentials: Azure certifications (AZ-305, AI-103) or equivalent demonstrated architecture ownership.Professional QualitiesBias for Shipped OutcomesCalm Technical AuthorityForce MultiplierGovernance as a FeatureClear CommunicatorPragmatic CuriosityCompetitive compensationComprehensive benefits programs designed to support your well-beingCareer development opportunities and ongoing learningA collaborative, people-first culture with accessible leadershipThe opportunity to do meaningful work with global reach and local impactGallagher is an affirmative action/equal opportunity employer (Minorities/Females/Veterans/Disabled)