Sujay Patel is a Senior Technical Program Manager with over a decade of experience leading large-scale robotics, automation, and AI-driven technology deployments across fulfillment, manufacturing, and logistics environments. He has built a strong track record of delivering complex hardware and software programs by collaborating with cross-functional engineering, machine learning, operations, and vendor teams to drive scalable automation solutions and operational excellence.
Currently serving as a Senior Technical Program Manager at Amazon, Sujay has led the deployment and scaling of AI-powered robotic systems across more than 20 fulfillment centers processing over 500,000 packages per day per site. His work has contributed to more than $250 million in operational efficiency gains through the implementation of autonomous systems, predictive optimization models, IoT-based device lifecycle management, and robotics platform reliability initiatives. He has played key roles in major automation programs, including Amazon’s Vulcan robotic stowing systems and Sequoia fulfillment initiatives, supporting significant improvements in inventory ingest speed, order processing efficiency, and large-scale robotics integration. He also led a fleet-wide cybersecurity remediation effort involving over 80,000 robotic drive units across 230 fulfillment centers, successfully executing the migration to device-level authentication without operational downtime.
Before joining Amazon, Sujay worked as a Technical Program Manager at IDEX Corporation, where he led automation firmware upgrade programs, API optimization initiatives, and deployment governance frameworks across distributed manufacturing and logistics systems. His efforts generated substantial operational savings, improved system performance, and strengthened deployment reliability through structured rollout strategies, analytics platforms, and cross-functional governance processes.
Earlier in his career, Sujay served as a Project Engineer at United Technologies Corporation, where he worked on automated guided vehicle systems, collaborative robotics deployments, robotic commissioning, and predictive maintenance initiatives. He contributed to robotic automation programs that improved production throughput, reduced manual handling requirements, and enhanced operational accuracy through data-driven optimization and system integration.
Sujay holds a Master of Business Administration from Quantic School of Business, a Master of Science in Industrial Engineering from the University of Texas, and a Bachelor of Science in Mechanical Engineering from CHARUSAT University in India. His expertise spans robotics and automation, distributed systems, cloud platforms, IoT device management, API integrations, machine learning-driven optimization, cybersecurity remediation, and large-scale technical program execution.