Orchestrating AI Agents at Enterprise Scale: Insights from Intuit's Engineering Leaders

Introduction

Building systems where multiple AI agents work together seamlessly at scale is one of the hardest challenges in modern engineering. According to Chase Roossin, group engineering manager, and Steven Kulesza, staff software engineer at Intuit, the problem is not just about individual agent performance but about how to coordinate these agents within a complex ecosystem. In a recent conversation, they shared their experiences and strategies for making multi-agent systems cooperate effectively. This article explores the key insights from their discussion, offering a roadmap for any organization tackling similar issues.

Orchestrating AI Agents at Enterprise Scale: Insights from Intuit's Engineering Leaders
Source: stackoverflow.blog

Recommended

Discover More

How to Advocate for Transparent Edtech Vetting in Your StateWhen a Kernel Optimization Backfires: The CUBIC Bug That Stalled QUIC ConnectionsToyota's Tahara Plant Achieves Carbon Neutrality: The 'One Tahara' ApproachSafeguarding Configuration Rollouts at Scale: Meta’s Approach10 Key Developments in the Backlash Against Edtech Vetting