Agentic AI Engineer

The 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.

Engagement & Logistics

• Engagement Length: Up to 6 months.
• Time Zone: ET
• Overtime Required: No
• Equipment: BYOD (Bring Your Own Device) 

  Selection process

  1. Meeting with Resilient Co. team.
  2. Technical interview
  3. CV Review
  4. Client Interview