Atomicwork, an AI-native IT and Enterprise Service Management (ITSM/ESM) platform, has appointed Jeegar Shah as its Head of Applied AI and Platform. Shah, who brings extensive experience from Amazon's Artificial General Intelligence (AGI) team and ServiceNow, will lead the development and scaling of Atomicwork's agentic AI capabilities, focusing on reliability, security, and operational governance for enterprise deployments.
Atomicwork appoints Jeegar Shah, former Amazon AGI and ServiceNow AI leader, as Head of Applied AI.
Shah will oversee the AI platform, focusing on scalability, security, and operational reliability.
At Amazon AGI, he worked on LLM training, evaluation pipelines, and Alexa AI infrastructure.
At ServiceNow, he led efforts in agentic, context-driven AI systems and multi-agent orchestration.
Atomicwork's platform is built from the ground up to be agentic, not retrofitted with AI.
The hire aims to accelerate the delivery of trusted, production-scale AI for service management.
The appointment underscores Atomicwork's commitment to building enterprise-grade, reliable AI. Vijay Rayapati, co-founder and CEO of Atomicwork, emphasized the strategic fit: "Jeegar has spent his career building AI that performs in production at scale. His experience is a strong fit as we continue to advance our AI-native service management platform." Shah's background in deploying secure and observable AI systems at Amazon and ServiceNow is directly applicable to Atomicwork's mission of automating service work in complex IT environments.
Shah's experience spans critical areas of modern AI infrastructure. At Amazon AGI, he worked on foundational model training and release pipelines, gaining expertise in the operational rigor needed for global platforms. Subsequently, at ServiceNow, he focused on designing agentic and context-aware systems, advancing architectures for real-world enterprise use. In his new role, he will be responsible for ensuring Atomicwork's AI platform meets stringent requirements for governance and reliability as it scales.
Atomicwork differentiates itself by being architected from its inception as an agentic platform, enabling AI to reason, act, and improve autonomously within service workflows. Shah commented on the opportunity: "Atomicwork is addressing a foundational problem in enterprise software: enabling service teams to move beyond manual work through AI that performs reliably at scale." His leadership is expected to accelerate the platform's ability to deliver instant, contextual support and eliminate repetitive tasks for IT teams.
This key hire signals Atomicwork's aggressive investment in top-tier AI talent to execute its vision of transforming traditional, ticket-centric service management into an intelligent, proactive, and automated function.
About Atomicwork
Atomicwork is an AI-native ITSM & ESM platform built for modern enterprises to transform their IT service delivery and employee support. Powered by agentic AI, it automates routine IT tasks, unifies workflows, and delivers instant, contextual support across Slack, Teams, and the browser - helping IT teams focus on strategic work that drives business growth.
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