WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
World Congress 2026 Europe - Virtual Stage • Jul 2, 2026 • Session details

Building Scalable Multi-Agentic AI Systems in Java: Orchestrating Agents with Event-Driven Approach

Mary Grygleski

Single LLMs fail at complex enterprise workflows. Learn to build scalable, event-driven multi-agent AI systems in Java using distributed computing principles and advanced orchestration patterns.

Pause
Mute Enter Fullscreen
#1 about 6 min

Understanding the fundamental roles of agents in systems

Agents coordinate decision-making and handle multi-step goals beyond simple pattern matching.

#2 about 3 min

Extending capabilities with artificial intelligence agents

Artificial intelligence agents extend the bounded scope and reasoning limits of language models by designing workflows and calling external tools.

#3 about 5 min

Defining the core building blocks of single agents

Intelligent agents perceive their environment, maintain stateful memory, perform reasoning, and use action interfaces to interact with systems.

#4 about 4 min

Designing single-agent architectures with prompt chaining workflows

Systems structure agent operations using prompt chaining, tool calling, and stateful workflows to manage complex tasks.

#5 about 6 min

Scaling enterprise architectures with multi-agentic systems

Complex enterprise tasks require multiple specialized agents working collaboratively to increase system robustness and fault tolerance.

#6 about 4 min

Standardizing context delivery with the model context protocol

Open protocols like MCP and A2A standardize how applications provide context and facilitate communication between distributed agents.

#7 about 6 min

Addressing scalability and resilience in agentic architectures

Enterprise agentic systems must handle varying workloads and ensure fault tolerance while executing autonomous decision-making.

#8 about 5 min

Evaluating orchestrator design patterns for enterprise systems

Orchestrator patterns including worker delegation, hierarchical structures, blackboards, and market-based bidding manage distributed agent collaboration.

#9 about 6 min

Implementing agentic design patterns for reliable execution

Design patterns like reflection, tool use, and complex planning enable agents to self-correct and coordinate efficiently.

#10 about 1 min

Building multi-agent systems using popular frameworks and libraries

Development frameworks such as Autogen, LangGraph, and LangChain4J provide necessary tools for orchestrating multiple language models.

#11 about 3 min

Adopting event-driven computing for generative AI platforms

An event-driven approach manages the dynamic flow of data asynchronously to improve scalability and integration across diverse AI models.

#12 about 6 min

Applying distributed computing principles to agentic artificial intelligence

Distributed systems fundamentals like the CAP theorem guide architectural trade-offs between consistency and availability in multi-agent deployments.

#13 about 2 min

Evaluating business considerations for scaling enterprise agentic systems

Executives must prioritize scalability and resilience as board-level issues when deploying enterprise-grade artificial intelligence agents.

Matching moments

46 sec

Introduction to distributed multi-agent systems

Saoussen Chaabnia Saoussen Chaabnia · Europe 2026 Virtual

1:40 min

Applying event-driven architecture to AI agent communication

diabhey diabhey · WWC 2025

1:30 min

Transitioning from machine learning models to complex agentic systems

Alejandro Saucedo Alejandro Saucedo · WWC 2025

1:32 min

Architectural patterns for developing robust generative AI applications

Julián Duque Julián Duque · WWC 2025

5:37 min

Architectural patterns for composing dynamic AI agents

Philipp Schmid Philipp Schmid · WWC 2025

2:02 min

Shifting focus from isolated models to enterprise AI systems

Mohak Chadha Mohak Chadha · WWC Europe 2026

More from World Congress 2026 Europe - Virtual Stage

One Does Not Simply Make Architecture Decisions Alone thumbnail
36:15
29 days ago

One Does Not Simply Make Architecture Decisions Alone

Vladas Diržys

From Black Box to Glass Box : Bedrock AgentCore Observability thumbnail
21:15
about 1 month ago

From Black Box to Glass Box : Bedrock AgentCore Observability

Yasemin Aktürk

Leading in Rhythm: How Women Make Better Decisions with Biological Intelligence thumbnail
30:41
about 1 month ago

Leading in Rhythm: How Women Make Better Decisions with Biological Intelligence

Julia Grosse

Better Together: Leveraging Your Observability Tools as a SIEM thumbnail
39:06
about 1 month ago

Better Together: Leveraging Your Observability Tools as a SIEM

Mathias Palmersheim

ChatGPT Apps: From Chat to Checkout thumbnail
30:29
about 1 month ago

ChatGPT Apps: From Chat to Checkout

Aaron Koivunen

Interior Decorating (TypeScript Decorators) thumbnail
29:22
about 1 month ago

Interior Decorating (TypeScript Decorators)

Michael Dowden

Upcoming sessions on this topic

Open session

World Congress 2026 North America

DeepAgents: Build Multi-Agent AI Systems That Actually Work

Apoorva Jaiswal, Anagha Rumade, Anjana Umapathy

Apoorva Jaiswal
Anagha Rumade
Anjana Umapathy
Open session

World Congress 2026 North America

No Single Model to Rule Them All: Building Resilient AI Agents Across Open & Closed LLMs

Emmanuel Acheampong

Senior Manager Developer Relations at Crusoe AI

Emmanuel Acheampong
Open session

World Congress 2026 North America

When Agents Became Users: Rearchitecting Identity and Permissions for AI at Scale

Dor Cohen, Yoav Gal

Dor Cohen
Yoav Gal
Open session

World Congress 2026 North America

MicroAgents: The Microservices of the Agentic Era

Ashish Shubham

Runs the show bussiness at ThoughtSpot

Ashish Shubham
Open session

World Congress 2026 North America

Closing the Visibility Gap: Lessons from Safety Critical Agentic Systems

Vivek Pandit

Principal Engineer at Cadence

Vivek Pandit
Open session

World Congress 2026 North America

Agentic Drift: keeping pace with your agents

John Coghlan

Senior Director, Developer Advocacy at GitLab

John Coghlan

Related videos

Event-Driven Architecture: Breaking Conversational Barriers with Distributed AI Agents thumbnail
22:19
WWC 2025 • 12 months ago

Event-Driven Architecture: Breaking Conversational Barriers with Distributed AI Agents

diabhey

Beyond Chatbots: How to build Agentic AI systems thumbnail
24:22
WWC 2025 • 12 months ago

Beyond Chatbots: How to build Agentic AI systems

Philipp Schmid

AI Agents & Agentic AI thumbnail
26:53
Europe 2026 Virtual • about 1 month ago

AI Agents & Agentic AI

Xavier Sala Presas

Building Blocks for Agentic Solutions in your Enterprise thumbnail
23:39
WWC 2025 • 12 months ago

Building Blocks for Agentic Solutions in your Enterprise

Dennis Zielke, Rene Pajta

AI Agents Graph: Your following tool in your Java AI journey thumbnail
30:38
WWC 2025 • 12 months ago

AI Agents Graph: Your following tool in your Java AI journey

Alex Soto

On a Secret Mission: Developing AI Agents thumbnail
29:03
WWC 2025 • 12 months ago

On a Secret Mission: Developing AI Agents

Jörg Neumann

Related articles

From learning to earning

Jobs that call for the skills explored in this talk.