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 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 impact
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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.
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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.
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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.
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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.
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Mentor and Grow Engineers: Coach AI developers through design reviews, pairing, and career development; raise the technical bar across the team.
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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.
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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.
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Drive Evaluation and Reliability: Define measurable quality bars (groundedness, accuracy, latency, cost) and build the evaluation harnesses to enforce them before and after release.
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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
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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.
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Azure Depth: Hands-on production experience with Microsoft Foundry, Azure OpenAI Service, Azure AI Search, and Azure compute (Functions, Container Apps, or App Service).
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Languages: Strong .NET/C# plus working proficiency in Python; able to review and contribute in both.
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GenAI Engineering: Proven delivery of RAG architectures, agent orchestration (Microsoft Agent Framework, Semantic Kernel, or LangChain), and prompt/evaluation pipelines.
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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).
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Delivery Discipline: Agile experience with Azure DevOps (or equivalent) - backlogs, CI/CD, automated testing, and release management.
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Leadership: Track record of mentoring engineers, running design reviews, and owning technical decisions across multiple concurrent initiatives.
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Regulated Industry Experience: Prior AI/ML delivery in insurance, financial services, or healthcare, with familiarity with model risk management or responsible AI guidance.
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Familiarity with AI-enabled and spec-driven development: Using AI-assisted tooling and agent workflows across the SDLC to quickly deliver production-grade systems.
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Experience with Infrastructure-as-Code: Building applications tightly aligned to Terraform-deployed, optimized infrastructure.
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Evaluation and MLOps Maturity: Built LLMOps tooling - automated evals, red-teaming, drift/cost monitoring - at enterprise scale.
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Architecture Credentials: Azure certifications (AZ-305, AI-103) or equivalent demonstrated architecture ownership.
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Bias for Shipped Outcomes: Measures success by working software in users' hands, not demos or decks; cuts scope intelligently to ship.
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Calm Technical Authority: Makes and defends decisions under ambiguity, and changes course quickly when evidence demands it.
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Force Multiplier: Gets more from the team than from their own keyboard - through mentoring, standards, and unblocking others.
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Governance as a Feature: Treats compliance, security, and auditability as design inputs that build trust, not friction to route around.
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Clear Communicator: Explains complex systems simply to executives and precisely to engineers; writes things down.
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Pragmatic Curiosity: Tracks the fast-moving AI landscape but adopts new tools only when they solve a real AJ Gallagher problem.
Compensation and benefits
We offer a competitive and comprehensive compensation package. The base salary range represents the anticipated low end and high end of the range for this position. The actual compensation will be influenced by a wide range of factors including, but not limited to previous experience, education, pay market/geography, complexity or scope, specialized skill set, lines of business/practice area, supply/demand, and scheduled hours. On top of a competitive salary, great teams and exciting career opportunities, we also offer a wide range of benefits.
Below are the minimum core benefits you’ll get, depending on your job level these benefits may improve:
- Medical/dental/vision plans, which start from day one!
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Life and accident insurance
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401(K) and Roth options
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Tax-advantaged accounts (HSA, FSA)
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Educational expense reimbursement
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Paid parental leave
Other benefits include:
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Digital mental health services (Talkspace)
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Flexible work hours (availability varies by office and job function)
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Training programs
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Gallagher Thrive program – elevating your health through challenges, workshops and digital fitness programs for your overall wellbeing
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Charitable matching gift program
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And more...
**The benefits summary above applies to fulltime positions. If you are not applying for a fulltime position, details about benefits will be provided during the selection process.
We value inclusion and diversity
Click Here to review our U.S. Eligibility Requirements
Inclusion and diversity (I&D) is a core part of our business, and it’s embedded into the fabric of our organization. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the communities where we live and work.
Gallagher embraces our employees’ diverse identities, experiences and talents, allowing us to better serve our clients and communities. We see inclusion as a conscious commitment and diversity as a vital strength. By embracing diversity in all its forms, we live out The Gallagher Way to its fullest.
Gallagher believes that all persons are entitled to equal employment opportunity and prohibits any form of discrimination by its managers, employees, vendors or customers based on race, color, religion, creed, gender (including pregnancy status), sexual orientation, gender identity (which includes transgender and other gender non-conforming individuals), gender expression, hair expression, marital status, parental status, age, national origin, ancestry, disability, medical condition, genetic information, veteran or military status, citizenship status, or any other characteristic protected (herein referred to as “protected characteristics”) by applicable federal, state, or local laws.
Equal employment opportunity will be extended in all aspects of the employer-employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. In addition, Gallagher will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability, unless the accommodation would impose an undue hardship on the operation of our business.
