Platform Engineering meet-up - May 9

Real systems. Real engineers. Real lessons.

Manas Chaturvedi

@manaschaturvedi

Designing Multi-Agent Systems That Scale: From Orchestration to Execution

Submitted Apr 29, 2026

Designing Multi-Agent Systems That Scale: From Orchestration to Execution

Session Description

AI agents are powerful—but scaling them into reliable production systems is far from straightforward.

Most multi-agent implementations struggle with unpredictable behavior, rising costs, and brittle workflows once they move beyond demos. In this talk, we’ll explore how to design scalable, orchestrated multi-agent systems that prioritize control, reliability, and efficiency.

We’ll break down the architecture into key layers—from orchestration and role-based agent design to distributed execution and tool integration—and discuss how these pieces come together to handle complex, long-running workflows.

You’ll learn how to:

  • Design structured, role-driven agent workflows instead of relying on autonomous behavior
  • Scale execution using distributed workers and asynchronous pipelines
  • Integrate external tools and APIs safely within agent workflows
  • Optimize LLM usage with routing, caching, and guardrails
  • Improve system reliability with validation, retries, and observability

This session focuses on practical architecture patterns and real-world lessons—not frameworks or demos—helping you move from experimental agent setups to production-ready systems that actually scale.

Key Takeaways:

  • Learn architectural patterns and safeguards for building multi-agent systems that are reliable, observable, and production-ready—not just experimental demos.
  • See concrete methods to scale agent orchestration, tool integration, and LLM usage with cost and quality controls.

Who should attend:
This session is especially valuable for AI/ML engineers, solution architects, backend developers, and engineering leaders building or scaling multi-agent, workflow-driven, or LLM-powered applications. Product managers and technical leaders evaluating generative AI for complex automations will also benefit.

Speaker’s bio:
Manas Chaturvedi is an Architect in IDfy and has about 10+ years of experience in building distributed systems, AI-powered workflows and internal developer tools in various startups and product-based companies.

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