Agentic AI Engineer

This is a senior, hands-on engineering role working directly with Murali and the internal team to modernize automation for a workforce of ~60,000 employees. The position requires specialist-level experience implementing agentic orchestration and integrating agents with enterprise systems. Stack Google Agentic Orchestration MCP (Model Context Protocol) LLM integration Azure Agentic Systems Agentic Integrations Summary Aon's Agentic AI initiative seeks an experienced Agentic AI Engineer to design and build an orchestration layer that shifts internal automation from workflow-based systems to agentic interactions. This role focuses on Google Agentic Orchestration, MCP-based integrations, and practical LLM integration to enable reliable agent-to-system interactions across Aon's internal applications. This is a senior, hands-on engineering role working directly with Murali and the internal team to modernize automation for a workforce of \~60,000 employees. The position requires specialist-level experience implementing agentic orchestration and integrating agents with enterprise systems. Responsibilities Design and architect a Google-based Agentic Orchestration layer across existing internal applications. Develop, integrate, and test agentic orchestration capabilities using Google Agentic Orchestration. Implement MCP (Model Context Protocol) connectors to enable agent-to-system communication and data exchange. Integrate general LLM capabilities to support agent decision-making and interaction flows. Build reliable, auditable agent interactions to replace legacy workflow automation. Collaborate directly with Murali and cross-functional stakeholders to align technical design with business needs. Validate and troubleshoot agent behaviors and orchestration flows in production-like environments. Support transition planning and handover from incumbent vendor solutions to the new agentic model. Requirements Specialist-level hands-on experience with Google Agentic Orchestration. Demonstrated experience integrating agents with enterprise systems using MCP (Model Context Protocol). Practical knowledge of general LLM integration for agent behavior and orchestration. Azure awareness and ability to work within an Azure-informed environment. Seniority at Level 3 (Advanced) or Level 4 (Senior/Lead) with a track record of delivering complex orchestration projects. Experience designing and deploying solutions that replace workflow-based automation with agentic interactions. Strong debugging, testing, and validation skills for agentic systems and integrations. Effective collaborator with experience working directly with senior stakeholders and technical leads.