Building 0->1 Enterprise-Scale AI Products That Transform Industries

Raj Karan Gunukula led the technical program management and execution of Amazon’s generative AI assistant designed to empower millions of global sellers with personalized growth strategies. Raj will share how he: Drove multi-year execution across engineering, science, and product teams to build modular architecture (real-time data integration, orchestration layer, and multilingual front ends). Balanced experimentation and risk management, ensuring speed of delivery while safeguarding data integrity, compliance, and customer trust. Operationalized AI adoption, building global rollout mechanisms, adoption tracking, and stakeholder alignment Transformed program management for AI, creating scalable frameworks for prioritization, resourcing, and feature launches in a highly ambiguous, cross-organizational setting.
Who is this presentation for?
Business and Technical Audience
Prerequisite knowledge:
NA
What you'll learn?
This talk offers a practitioner’s view into what it takes to go from vision to execution when deploying enterprise-grade generative AI—covering the technical, organizational, and leadership challenges of delivering an AI system that became a cornerstone for Amazon’s seller ecosystem.

Raj Karan Gunukula is a seasoned technology leader with 14+ years of experience driving large-scale AI, machine learning, and data infrastructure programs across fintech and commerce. He currently serves as Group Technical Program Manager at Coinbase, where he leads AI adoption across the software development lifecycle. Previously at Amazon, Raj rose to Principal TPM, founding and leading a team of TPMs supporting engineers, scientists, and XFN teams to deliver flagship Generative AI and intelligent advisor solutions that scaled to over one million sellers worldwide. His career blends deep technical grounding from his B.Tech. in Electrical Engineering at IIT with hands-on leadership in AI innovation, product scaling, and business transformation.