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Atomicwork appoints Jeegar Shah as head of applied AI
He will lead Atomicwork’s AI platform and applied AI initiatives, with a focus on scalability, security, governance, and operational reliability.
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Malvika Choudhary - Thu, 08, Jan 2026
- 14:13 EST
- 13
Jeegar Shah / Atomicwork Inc
Atomicwork, an AI-native IT service management (ITSM) and enterprise service management (ESM) platform, has appointed Jeegar Shah as head of Applied AI and Platform.
In the new role, Shah will lead Atomicwork’s AI platform and applied AI initiatives as the company scales its agentic service management capabilities, the company said in a statement.
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Shah joins Atomicwork from Amazon and ServiceNow, where he worked on production AI systems used at enterprise scale.
At Amazon, he spent more than four years on the Artificial General Intelligence (AGI) team, leading the development of large language model training, evaluation, and release pipelines, and contributing to systems that support Alexa AI and other foundation model initiatives.
He later led enterprise AI and platform efforts at ServiceNow, focusing on agentic, context-driven systems and multi-agent orchestration for enterprise use.
“Jeegar has spent his career building AI that performs in production at scale,” Vijay Rayapati, co-founder and chief executive officer of Atomicwork, said in a statement. “His experience is a strong fit as we continue to advance our AI-native service management platform.”
Atomicwork said Shah’s background in deploying secure and reliable AI systems in complex enterprise environments will support its focus on building AI designed to operate in real-world service workflows, rather than being added onto legacy, ticket-centric systems.
“Atomicwork is addressing a foundational problem in enterprise software: enabling service teams to move beyond manual work through AI that performs reliably at scale,” Shah said.
In addition to his industry roles, Shah serves on LangChain’s Customer Advisory Board, where he advises on enterprise adoption of agentic AI and large language model orchestration.
He holds a master of business administration from the University of Chicago Booth School of Business, a master’s degree in electrical and computer engineering from Carnegie Mellon University, and a bachelor’s degree in engineering physics from the Indian Institute of Technology, Bombay. He has also completed professional studies in electrical and computer engineering at Stanford University.
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