AI Senior Developer

Job description

Introduction 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.

Overview

The Senior AI Engineering Developer 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 impact Translate Business Problems into Technical Solutions: Work side-by-side with business leaders and subject-matter experts to unpack ambiguous, unstructured challenges and shape them into well-scoped, buildable AI solutions with a clear delivery path.

Own AI Solution Architecture

Design and defend end-to-end architectures for GenAI and agentic systems on Microsoft Foundry - spanning Azure OpenAI, Azure AI Search, Foundry Tools, and Copilot Studio - that meet enterprise security, scalability, and data-residency requirements.

Lead Hands-On Delivery

Write and review production code (C#/.NET and Python) for RAG pipelines, AI agent orchestration, and API integrations; remain a strong individual contributor while leading the team.

Set Engineering Standards

Establish patterns for agentic development, evaluation, testing, CI/CD (Azure DevOps), and observability so AI solutions are repeatable and maintainable - not one-off prototypes.

Mentor and Grow Engineers

Coach AI developers through design reviews, pairing, and career development; raise the technical bar across the team.

Ship to Enterprise Surfaces

Deliver AI capabilities into internal applications, Microsoft Teams, and M365 Copilot, integrating through Foundry agents, Service Bus, Azure Functions, and other cloud-native services.

Build Governance In

Implement responsible-AI controls - Entra ID/RBAC, IaC Policy, human-in-the-loop checkpoints, audit logging - aligned to Gallagher compliance expectations from day one, not as an afterthought.

Drive Evaluation and Reliability

Define measurable quality bars (groundedness, accuracy, latency, cost) and build the evaluation harnesses to enforce them before and after release.

Communicate Up and Across

Translate technical trade-offs into clear recommendations for the Director of AI and business stakeholders; manage delivery risks and dependencies proactively.

About You

Required Experience: 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 Differentiators Regulated 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 Qualities Bias for Shipped Outcomes

Measures success by working software in users' hands, not demos or decks; cuts scope intelligently to ship.

Calm Technical Authority

Makes and defends decisions under ambiguity, and changes course quickly when evidence demands it.

Force Multiplier

Gets more from the team than from their own keyboard - through mentoring, standards, and unblocking others.

Governance as a Feature

Treats compliance, security, and auditability as design inputs that build trust, not friction to route around.

Clear Communicator

Explains complex systems simply to executives and precisely to engineers; writes things down.

Pragmatic Curiosity

Tracks the fast-moving AI landscape but adopts new tools only when they solve a real AJ Gallagher problem. Compensation and benefits At Gallagher, we believe supporting our colleagues goes far beyond the role itself. For more information, visit our Benefits page. Competitive compensation Comprehensive benefits programs designed to support your well-being Career development opportunities and ongoing learning A collaborative, people-first culture with accessible leadership The opportunity to do meaningful work with global reach and local impact At Gallagher, we are dedicated to building an inclusive and authentic workplace.

If your past experience doesn’t align perfectly, we encourage you to join our Talent Community to stay connected to additional career opportunities. At times, we will consider transferable skills from previous roles. Gallagher is an affirmative action/equal opportunity employer (Minorities/Females/Veterans/Disabled)