Arthur J. Gallagher & Co.

Global insurance brokerage, risk management, consulting

AI Senior Developer

AI Application EngineeringConfirmed live in the last 24 hours

Full-timeRolling Meadows, IL, USANo salary listedIn-person

About the Job

Requirements

At least 7 years of software engineering experience, including experience building production LLM or generative AI systems, and at least 2 years leading engineers or owning technical direction.
Hands-on production experience with Microsoft Foundry, Azure OpenAI Service, Azure AI Search, and Azure compute services such as Functions, Container Apps, or App Service.
Strong proficiency in .NET and C#, with working proficiency in Python and the ability to review and contribute in both.
Proven delivery of retrieval-augmented generation architectures, agent orchestration using Microsoft Agent Framework, Semantic Kernel, or LangChain, and prompt and evaluation pipelines.
Experience designing secure REST APIs and event-driven integrations using Azure API Management and Service Bus within an enterprise identity model using Entra ID and role-based access control.
Agile delivery experience with Azure DevOps or an equivalent, including backlogs, continuous integration and delivery, automated testing, and release management.
Track record of mentoring engineers, running design reviews, and owning technical decisions across multiple concurrent initiatives.

Responsibilities

Translate ambiguous business and subject-matter challenges into well-scoped, buildable AI solutions with a clear delivery path.
Design and defend end-to-end architectures for generative AI and agentic systems on Microsoft Foundry, using Azure OpenAI, Azure AI Search, Foundry Tools, and Copilot Studio to meet enterprise security, scalability, and data-residency requirements.
Write and review production code in C#/.NET and Python for retrieval-augmented generation pipelines, AI agent orchestration, and API integrations while contributing as an individual developer and leading the team.
Establish patterns for agentic development, evaluation, testing, continuous integration and delivery, and observability to make AI solutions repeatable and maintainable.
Coach AI developers through design reviews, pairing, and career development, and raise the team's technical standards.
Deliver AI capabilities into internal applications, Microsoft Teams, and Microsoft 365 Copilot, integrating through Foundry agents, Service Bus, Azure Functions, and other cloud-native services.
Implement responsible-AI controls, including Entra ID and role-based access control, infrastructure-as-code policy, human-in-the-loop checkpoints, and audit logging, aligned with compliance expectations.
Define measurable quality standards for groundedness, accuracy, latency, and cost, and build evaluation harnesses to enforce them before and after release.
Communicate technical trade-offs as clear recommendations to the Director of AI and business stakeholders, and proactively manage delivery risks and dependencies.

Desired Qualifications

Prior AI or machine-learning delivery experience in insurance, financial services, or healthcare, with familiarity with model risk management or responsible-AI guidance.
Familiarity with AI-assisted tooling and agent workflows across the software development lifecycle to deliver production-grade systems quickly.
Experience building applications aligned with Terraform-deployed, optimized infrastructure.
Experience building enterprise-scale LLMOps tooling, including automated evaluations, red-teaming, drift monitoring, and cost monitoring.
Azure certifications such as AZ-305 or AI-103, or equivalent demonstrated architecture ownership.

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)

About the Company

Arthur J. Gallagher & Co.

Global insurance brokerage, risk management, consulting

Arthur J. Gallagher & Co. is a global insurance brokerage and risk management firm. It helps businesses, public entities, and individuals manage risk and obtain insurance through three segments: brokerage, risk management, and corporate. The brokerage unit offers a full range of retail and wholesale insurance brokerage and consulting services to match clients with coverage. The risk management unit handles contract claim settlements, claim administration, loss control consulting, and risk management information services to reduce exposures. The corporate unit oversees the company’s clean energy and other investments. The firm differentiates itself by providing end-to-end risk solutions across insurance placement, claims handling, risk counseling, and investment activities, rather than focusing on a single service. Its goal is to help clients manage risk effectively, protect assets, and pursue value through diverse investments, including clean energy.

Company size: 10,001+
Company stage: IPO
Headquarters: Itasca, IL
Founded: 1927

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