Session Abstract

What This session explores how to design and implement multi-agent AI systems using MS Foundry Agent Service, where multiple specialized agents collaborate to solve complex real-world problems. The focus is on moving beyond single chatbots to role-based agents that work together with clear responsibilities. Why Many enterprise AI scenarios require coordination between capabilities such as data retrieval, reasoning, and task execution. A single agent often becomes difficult to scale and manage. Multi-agent architectures provide a structured way to divide responsibilities, improve reliability, and enable more intelligent automation. How Through a hands-on demonstration built using MS Foundry Agent Service, the session will show how agents can be designed with specific roles, connected together, and orchestrated to collaborate while maintaining context. The talk will highlight practical architecture patterns, communication flows, and key considerations for building scalable agent-based systems. For Whom This session is designed for AI engineers, developers, architects, and solution designers who want to understand how to build real-world agentic systems and implement collaborative AI agents in enterprise solutions using MS Foundry. Key Takeaways -Understand how multi-agent architectures enable specialized AI agents to collaborate instead of relying on a single monolithic agent. -Learn how to define clear roles and responsibilities for agents such as retrieval, reasoning, and task execution. -See how agent orchestration and communication patterns enable agents to work together while maintaining shared context.

Note to event organizers

I am a MCT and bring hands-on experience in building AI agents using tools like Microsoft Copilot Studio and Azure AI Foundry. I’ve previously delivered session on topic in this space and is listed on Sessionize. I’m passionate about sharing practical insights and contributing to the community through real-world applications of AI.

Mitul Tailor

I am a Microsoft Certified Trainer (MCT) and Senior Data & AI Engineer at Long View Systems, specializing in Azure services, data engineering, and AI-driven solutions. I work extensively with Azure Data Factory, Microsoft Fabric, Copilot Studio, and enterprise data migration, delivering scalable and efficient production-grade data platforms. I hold a Post Graduate Certificate in Generative AI, a PG Diploma in ML & AI, and a Bachelor’s degree in Computer Science. I am DP-600 and AI-102 certified, with strong expertise in Microsoft Azure data and AI solutions. I also have hands-on experience with Retrieval-Augmented Generation (RAG) and Azure AI Foundry, applying these technologies to build intelligent automation and insight-driven systems. Recognized by clients for clear, precise solution delivery and technical communication, I am passionate about automation, AI, and robotics. Outside of work, I enjoy traveling and have a strong interest in cars.

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