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.
- 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
- Meeting with Resilient Co. team.
- Technical interview
- CV Review
- Client Interview
Skills Required
- 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
What We Do
ResilientCo is a professional consultancy firm specializing in all aspects of resilience, including community building, risk management, and emergency and disaster response. The company provides expert guidance in strategy development, organizational resilience, and the management of natural hazards and societal risks, aiming to enhance sustainability and the capacity of organizations and communities to withstand and recover from systemic challenges.
