Jeegar Shah

CTO

San Francisco, California, United States21 yrs 3 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • 20+ years in AI and enterprise software
  • Led AI initiatives at Amazon and ServiceNow
  • Passionate about reliable and trustworthy AI
Stackforce AI infers this person is a SaaS and AI expert with a focus on enterprise solutions.

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Skills

Core Skills

Artificial Intelligence (ai)Platform DevelopmentStrategic AdvisingSystems DevelopmentProduct DevelopmentProduct ManagementStrategy ConsultingMicroprocessor DesignEngineering

Other Skills

AI systemsBusiness AdvisingBusiness ValuationEntrepreneurial FinanceEntrepreneurshipExpert AdvisorFinancial Statement AnalysisFull Chip TimingLLM orchestrationLarge Language Models (LLM)MicroprocessorsOptimizationPhysical DesignSmart Business IntelligenceStart-ups

About

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.

Experience

21 yrs 3 mos
Total Experience
2 yrs 8 mos
Average Tenure
3 mos
Current Experience

Atomicwork

Head of Applied AI & Platform @ Atomicwork ⚛️ | Building AI That Survives Production (and Physics)

Jan 2026Present · 3 mos · Palo Alto, California, United States · Hybrid

  • Head of Applied AI & Platform at Atomicwork. Previously built and scaled enterprise AI systems at Amazon and ServiceNow. Passionate about agentic systems, orchestration, retrieval, and building AI that behaves predictably under real-world constraints. Physics-trained. Production-obsessed.
AI systemsagentic systemsorchestrationcontext-aware intelligenceautomationArtificial Intelligence (AI)+1

Langchain

Member, Customer Advisory Board

Oct 2025Jan 2026 · 3 mos

  • Member of LangChain’s Customer Advisory Board, advising on enterprise-scale adoption of agentic AI and LLM orchestration. Provide strategic input on platform roadmap, developer ecosystem evolution, and real-world integration of generative AI across enterprise workflows.
enterprise-scale adoptionLLM orchestrationplatform roadmapArtificial Intelligence (AI)Strategic Advising

Servicenow

Head of Enterprise AI and Data science

Sep 2024Jan 2026 · 1 yr 4 mos · Hybrid

Amazon

Engineering Leader - Artificial General Intelligence (AGI) Platform

Mar 2020Jul 2024 · 4 yrs 4 mos · Sunnyvale, California, United States

  • Lead next generation tooling for Large Language Models (LLM) from model training to evaluation and finally release pipelines to put these models in production for AGI use cases including Alexa AI.
  • Also lead Systems Development team for addressing developer needs thus reducing operational load while building centralized areas of operational expertise.
Large Language Models (LLM)model trainingevaluationrelease pipelinesArtificial Intelligence (AI)Systems Development

Curiousai

Founder - CTO

Jan 2019Dec 2019 · 11 mos · San Francisco Bay Area

  • Smart Business Intelligence report cataloging/indexing to perform hypothesis testing, root-cause analysis, and trend spotting through use of reinforcement techniques and personalization to prioritize cross-report insights that match executive and SME business decision-making needs.
Smart Business Intelligencereinforcement techniqueshypothesis testingArtificial Intelligence (AI)Product Development

Falkonry

Head of Product / Engineering

Mar 2017Feb 2019 · 1 yr 11 mos

  • Falkonry is a pattern recognition technology for the scalable discovery and recognition of operating conditions from operational time series data. Falkonry Service is integrated with operations management solutions to improve the efficiency, quality, and reliability of IT and industrial operations. This is enabling production operations globally to improve their yield, quality, and uptime.
pattern recognition technologyoperational time series dataArtificial Intelligence (AI)Product Management

Mckinsey & company

Engagement Manager

Jan 2014Mar 2017 · 3 yrs 2 mos · Silicon Valley · On-site

  • Strategy Consulting for Fortune 500 executives on AI, Semiconductors, IoT and High Tech. Focused on product strategy and roadmap, M&A, GTM and new blue sky opportunities. As Engagement Manager led teams of associates, business analysts and industry experts for solving and identifying new business opportunities.
strategy consultingproduct strategyroadmapStrategy ConsultingProduct Management

Mousehouseapp

Co-founder - CTO / Product

Sep 2011Feb 2014 · 2 yrs 5 mos

  • Cloud-based SaaS business that allows life science researchers to manage, collaborate & run analytics on animal management services and experiments.
  • It also provides revolutionary and proprietary breeding algorithms to predict the genotypes of animals in a certain genealogy.
  • MouseHouse is a funded startup that has won several business competitions including the Rice Business Competition 2013, New Venture Challenge (NVC) 2012 at Chicago Booth, QEC 2012 (Canada), Chicago Techweek 2012 and more.
  • Was featured in CNN, Fortune Magazine (May 2013), CNBC, Chicago Tribune for promising business ideas and entrepreneurship
  • Architected & developed the laboratory product and built out the back-end using Ruby-On-Rails
  • Designed and formulated the API to help interact with an iPad app and a web-based java applet
  • Managed product development efforts across 3 international teams
  • Helped pitch at various business competitions across the globe and help raise seed money
  • Led B2B lab/university sales efforts on the West Coast
  • Managed, recruited and trained technical and sales staff
cloud-based SaaSanalyticsbreeding algorithmsArtificial Intelligence (AI)Product Development

Amd

3 roles

MTS Design Engineer

Promoted

Feb 2009Sep 2011 · 2 yrs 7 mos · Sunnyvale, CA

  • Full Chip Timing Lead - x86 Core Microprocessor Team
  • Led a team of senior Design team Leads as the Full-chip Timing/ Performance Lead
  • Structured complex design roadmaps for upper management
  • Provided design guidance to an international team of engineers
  • Responsible for providing timing flows/ methodologies / timing simulation and chip integration tasks.
  • Designed interfaces/ databases to analyze and present timing convergence data across multiple design units and the full chip to better evaluate and estimate timing convergence and project roadmaps
Full Chip Timingtiming flowstiming simulationMicroprocessor DesignEngineering

Senior Design Engineer

Jul 2008Jan 2009 · 6 mos · Sunnyvale, CA

  • Circuit designer (stdcell and macros) for Core microprocessor (Bulldozer) team
  • Analyzed and investigated circuit topologies to devise unique and power-optimal circuits for high-performance server designs
  • Review architectural feasibility for next generation processor designs by running performance simulations and brainstorming architectural improvements
  • Worked on various units of AMDs x86 microprocessor:
  • Load Store
  • Branch Prediction
  • Decoder
circuit designperformance simulationsMicroprocessor DesignEngineering

Senior CAD Engineer

Jan 2004Jan 2008 · 4 yrs · Sunnyvale, CA

  • Construction and Design Optimization CAD - microprocessor team.
  • Authored critical performance-power optimization CAD (Computer Aided Design) software that replaced existing algorithms from a third-party CAD company resulting in direct licensing costs savings
  • Authored statistical tools and designed an optimization engine based on convex optimization for simultaneous transistor swapping, resizing and pin swapping to achieve power reductions while constrained within the same power envelope
  • Developed design construction tools for ASIC stdcell Placement/ Routing, DFT, functional verification, design infrastructure, transistor sizing/swapping, repeater insertion and other optimization tools.
  • Developed a design database using Ruby-On-Rails and SQL to retrieve valuable design data and evaluate chip design progress/ convergence based on certain design metrics.
performance-power optimizationdesign construction toolsMicroprocessor DesignEngineering

Education

The University of Chicago Booth School of Business

Master of Business Administration (MBA)

Jan 2011Jan 2013

Stanford University

HCP - Professional learning — Electrical and Computer Engg

Jan 2005Jan 2009

Carnegie Mellon University

MS — Electrical and Computer Engg

Jan 2000Jan 2002

Indian Institute of Technology, Bombay

B-Tech — Engineering Physics

Jan 1996Jan 2000

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