Former Amazon AGI and ServiceNow AI leader accelerates Atomicwork's modern service management platform
san francisco, January 8, 2026 /PRNewswire/ — Atomicwork, the AI-native ITSM and ESM platform built for the modern enterprise, today announced the following appointments: Jiger Shah as Head of Applied AI and Platforms. In this role, Mr. Shah will lead Atomic Work's AI platform and applied AI initiatives as the company continues to expand its agent service management capabilities.
Jeegar Shah joins Atomicwork to lead AI
Shah brings extensive experience building and operating large-scale enterprise AI systems. He joins Atomicwork from Amazon and ServiceNow, where he worked on production AI systems serving millions of users around the world. His background in bringing reliable, secure, and observable AI to complex enterprise environments will support Atomicwork's mission to deliver AI that enterprises can trust in their real-world operations.
“At Atomicwork, we're building AI that does real work for businesses, not AI built into legacy systems,” said Atomicwork co-founder and CEO Vijay Rayapati. “Jeegar has spent his career building AI that works in production environments at scale, and his experience is a great fit as we continue to evolve our AI-native service management platform.”
At Amazon, Shah spent more than four years on the Artificial General Intelligence (AGI) team, where he led the development of large-scale language model training, evaluation, and release pipelines. His work supported some of Amazon's most ambitious AI initiatives, including the early foundational models and natural language understanding infrastructure that powers Alexa AI. Operating at this scale has provided Shah with hands-on experience with distributed training systems, assessment frameworks, and the operational rigor required to ensure the adoption of AI across global platforms.
Following Amazon, Shah joined ServiceNow where he led enterprise AI and platform efforts, designed and operated context-driven systems for agents, and advanced multi-agent orchestration and search architectures for use in real-world enterprises. Shah also serves on LangChain's Customer Advisory Board, advising enterprises on enterprise implementation of agent AI and large-scale language model orchestration. Through this role, he brings real-world integration experience to one of the most widely used AI developer platforms.
Atomicwork is building an AI-native approach to ITSM and ESM with the goal of eliminating repetitive service tasks and providing employees with instant, contextual support within the work flow. Unlike traditional service management platforms that retrofit AI onto ticket-centric systems, Atomicwork is designed from the ground up as an agent, enabling AI to reason, act, and continuously improve across enterprise environments.
As Head of Applied AI and Platforms, Shah will oversee the development of Atomicwork's AI platform, with a focus on scalability, security, governance, and operational reliability. “Atomicwork is addressing a fundamental problem in enterprise software: empowering service teams to go beyond manual labor through AI that runs reliably at scale,” said Shah. “I’m excited to help build a trusted AI platform and contribute to the team that is reimagining service management for a new generation of enterprises.”
About atomic work
Atomicwork is an AI-native ITSM and ESM platform built for the modern enterprise, transforming IT service delivery and employee support. Leverage agent AI to automate routine IT tasks, unify workflows, and provide instant, contextual support across Slack, Teams, and the browser, so your IT team can focus on the strategic work that drives business growth.
Trusted by CIOs and global enterprises, Atomicwork redefines IT service management with automation, intelligence, and a seamless employee experience. The company is headquartered in San Francisco with offices in India and Singapore.
Learn more here atomicwork.com.
Source Atomic Work Co., Ltd.
