Senior AI Engineer

Job description

Introduction At Gallagher, we help clients face risk with confidence because we believe that when businesses are protected, they’re free to grow, lead, and innovate.

You’ll be backed by our digital ecosystem

a client-centric suite of consulting tools making it easier for you to meet your clients where they want to be met. Advanced data and analytics providing a comprehensive overview of the risk landscape is at your fingertips. Here, you’re not just improving clients' risk profiles, you’re building trust. You’ll find a culture grounded in teamwork, guided by integrity, and fueled by a shared commitment to do the right thing.

We value curiosity, celebrate new ideas, and empower you to take ownership of your career while making a meaningful impact for the businesses we serve. If you’re ready to bring your unique perspective to a place where your work truly matters; think of Gallagher.

Overview

At Gallagher, we’re looking for a Senior AI Engineer to lead the technical delivery of enterprise AI solutions. You’ll design, build, and deploy AI systems like RAG pipelines, agent workflows, and Copilot integrations. Working with a talented team, you’ll turn complex challenges into production-ready AI solutions. Reporting to the Director of AI, you’ll play a key role in shaping the future of AI in a regulated insurance environment.

How you'll make an impact In this role, you’ll work closely with business leaders to understand their challenges and translate them into well-scoped AI solutions. You’ll design secure, scalable AI architectures using tools like Azure OpenAI and Copilot Studio. You’ll also write and review production code in .NET/C# and Python, delivering AI capabilities such as RAG pipelines and agent orchestration. As a leader, you’ll set engineering standards, mentor developers, and ensure the team delivers high-quality, maintainable solutions.

Governance and reliability will be at the heart of your work. You’ll build responsible AI controls, define quality metrics, and ensure systems meet compliance standards. You’ll also communicate technical decisions clearly to stakeholders, keeping everyone aligned and informed. About you Here’s what you’ll bring to the role: 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.

Problem-solving skills

You’ll turn unstructured challenges into well-scoped AI solutions.

Technical expertise

You’ll have hands-on experience with Azure OpenAI, Azure AI Search, and building RAG pipelines.

Coding skills

You’ll be proficient in .NET/C# and Python, with experience in API design and event-driven integrations.

Leadership

You’ll mentor developers, set standards, and lead technical decisions.

Compliance awareness

You’ll ensure AI systems meet governance and audit requirements. This role requires working US business hours/US shift, and candidates must be willing and able to work according to the assigned US time zone schedule. #LI-Hybrid