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Jeegar Shah, Head of Applied AI at Atomicwork — From Big Tech to startups: how risk-taking builds better AI leaders
Jeegar Shah
Head of Applied AI at Atomicwork
33:20
April 8, 2026

A career built by moving deliberately between large corporations and startups, and what that taught him about getting AI research into production without burning a startup's runway.

About the guest
Jeegar Shah
Head of Applied AI at Atomicwork

Jeegar Shah is Head of Applied AI at Atomicwork, where he leads AI platform engineering. He spent four years on Amazon's AGI team building LLM training and evaluation tooling, and led enterprise AI at ServiceNow on multi-agent orchestration and GraphRAG. He sits on LangChain's Customer Advisory Board.

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In this episode
00:00 Introduction and the "Reset" Moment 02:30 Engineering Culture and Native AI 05:00 High Risk Profiles and Building Natively 08:00 Lessons from Amazon: Customer Obsession and Scale 11:00 The PR FAQ Method and Product Alignment 14:00 Avoiding Wasted Resources in Startups 17:00 Pitfalls of AI in Production 20:00 Agentic AI: Real vs. Aspirational 23:30 Why Atomicwork: Talent Density and Faith 26:30 The Importance of Curiosity 29:00 Defining Success through Customer Perception 31:00 Advice for Young Engineers 32:15 Recommended Reading: Physics and AI Analogies

Episode transcript

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