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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Senior Developer - **Company:** Gallagher Llp - **Location:** Rolling Meadows, IL, United States - **Experience:** Expert - **Salary:** $119,500.0 - $233,000.0 - **Contract:** Permanent contract - **Skills:** .NET Framework, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Audit Trail, Automation of Tests, Microsoft Azure, C Sharp (Programming Language), Continuous Integration, Python (Programming Language), Systems Development Life Cycle, Role-Based Access Control, Release Management, Search Technologies, Software Engineering, Systems Integration, Large Language Models, Multi-Agent Systems, Software Application Programming, Production Code, Enterprise Integration, Machine Learning Operations, Virtual Agents, Restful APIs, Terraform, Api Management, Serverless Computing - **Published:** September 16, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=30fbaab1acff0c88 ## About 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. * 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., * 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. ## Description * 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., * 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. ## Related Videos - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Resilient by Design: Building Robust Architectures in High-Stakes Financial Systems](https://www.wearedevelopers.com/videos/2106-resilient-by-design-building-robust-architectures-in-high-stakes-financial-systems) - [Rest API Antipatterns](https://www.wearedevelopers.com/videos/100208-rest-api-antipatterns) - [Azure AI Foundry for Developers: Open Tools, Scalable Agents, Real Impact](https://www.wearedevelopers.com/videos/1541-azure-ai-foundry-for-developers-open-tools-scalable-agents-real-impact) - [Implementing Feature Environments with AWS and Terraform](https://www.wearedevelopers.com/videos/531-implementing-feature-environments-with-aws-and-terraform) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? 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