Jeegar Shah — CTO
I build AI systems designed to work in the real world—at scale, under pressure, and inside complex enterprise environments. I’m currently the Head of Applied AI & Platform at Atomicwork, where we’re building AI-native service platforms that help enterprises move beyond manual work toward intelligent, reliable automation. My focus spans agentic systems, orchestration, context-aware intelligence, and the platform foundations required to make AI trustworthy in production. Previously, I led enterprise AI and platform initiatives at Amazon and ServiceNow. At Amazon’s Artificial General Intelligence (AGI) organization, I led next-generation tooling for large language models across the full lifecycle—from training and evaluation to release pipelines powering production systems such as Alexa AI. I also built centralized systems teams to reduce operational load and enable developer velocity at scale. At ServiceNow, I focused on agentic systems, multi-agent orchestration, GraphRAG, and context engineering, with an emphasis on reliability, observability, and real enterprise workflows. I bring over 20 years of experience across AI, enterprise software, semiconductors, IoT, and data platforms, complemented by product and business leadership shaped through McKinsey & Company, multiple startups, and an MBA from Chicago Booth. I’ve worked across large enterprises and early-stage companies, helping translate complex technology into scalable platforms and real customer impact. My academic roots are in Engineering Physics, which left me with a deep respect for complex systems, unintended consequences, and why things break under stress. That systems-thinking mindset continues to shape how I approach AI, platforms, and leadership today. I’m passionate about building AI that earns trust—not through hype, but through reliability, transparency, and real-world outcomes. Proud to now call myself an Atom ⚛️. Always happy to connect with others building agentic AI, enterprise platforms, or systems that need to behave predictably in unpredictable environments.
Stackforce AI infers this person is a SaaS and AI expert with a focus on enterprise solutions.
Location: San Francisco, California, United States
Experience: 21 yrs 3 mos
Skills
- Artificial Intelligence (ai)
- Platform Development
- Strategic Advising
- Systems Development
- Product Development
- Product Management
- Strategy Consulting
- Microprocessor Design
- Engineering
Career Highlights
- 20+ years in AI and enterprise software
- Led AI initiatives at Amazon and ServiceNow
- Passionate about reliable and trustworthy AI
Work Experience
Atomicwork
Head of Applied AI & Platform @ Atomicwork ⚛️ | Building AI That Survives Production (and Physics) (3 mos)
LangChain
Member, Customer Advisory Board (3 mos)
ServiceNow
Head of Enterprise AI and Data science (1 yr 4 mos)
Amazon
Engineering Leader - Artificial General Intelligence (AGI) Platform (4 yrs 4 mos)
CuriousAI
Founder - CTO (11 mos)
Falkonry
Head of Product / Engineering (1 yr 11 mos)
McKinsey & Company
Engagement Manager (3 yrs 2 mos)
MouseHouseApp
Co-founder - CTO / Product (2 yrs 5 mos)
AMD
MTS Design Engineer (2 yrs 7 mos)
Senior Design Engineer (6 mos)
Senior CAD Engineer (4 yrs)
Education
Master of Business Administration (MBA) at The University of Chicago Booth School of Business
HCP - Professional learning at Stanford University
MS at Carnegie Mellon University
B-Tech at Indian Institute of Technology, Bombay