
Rachit Jain is a seasoned technology leader and AI researcher with over a decade of experience in the insurance domain, specializing in the implementation of platforms like Guidewire and Duck Creek. With a strong foundation in computer science and a proven record in enterprise solution architecture, Rachit has driven several transformational projects at leading firms including EY, contributing to both technical excellence and strategic vision.
His work sits at the intersection of artificial intelligence and digital insurance transformation, with a focus on leveraging advanced technologies like NLP, generative AI, and predictive modeling to automate claims, enhance underwriting, and improve operational efficiency. As an accomplished author, Rachit has published multiple peer-reviewed research papers in Scopus-indexed and IEEE journals, covering topics such as AI in wildfire risk, chatbot integration in auto insurance, and LiDAR for claims automation.
He is also deeply committed to academic and professional communities—serving as a mentor for prestigious institutions like the Texas McCombs School of Business and the Great Lakes Institute of Management. Rachit actively contributes as a reviewer and editorial board member for several international conferences and journals, and is a corresponding member of the IEEE AI Policy Committee, shaping the dialogue between AI regulation and industry practice.
Currently, he is the Track Chair for the "AI for Insurance" track at the 2025 International Conference on Open Finance and is working on a book that explores how AI is revolutionizing the insurance landscape—from product development to post-claim engagement.
With over a decade of experience in the software and insurance technology industry, I have a strong background in AI, cloud transformation, and enterprise system implementations.
Currently, I serve as a senior technology leader specializing in platforms like Duck Creek and Guidewire, with hands-on experience integrating AI and automation solutions within the insurance sector. I am a UK Design Patent holder and the author of four peer-reviewed papers published in Scopus-indexed and IEEE journals, covering topics such as AI-driven claims processing, risk modeling, and insurance productivity enhancement.
I am a Senior Member of the IEEE and serve as an external expert on the Board of Studies in Computer Science & Engineering at JECRC University, India, where I contribute to academic planning and curriculum development in emerging technologies. I am also actively involved in the academic and research ecosystem as a reviewer for IEEE journals and conference papers under IEEE, Scopus, and Springer. I serve as a judge at U.S.-based research forums and regularly assess technical work within leading firms, including EY, Atos, and Mindtree. Additionally, I contribute to global academic governance as a member of the Global Academic Council Board (GACB) and the IEEE AI Policy Committee (AIPC).
He was a mentor for the Great Lakes Institute of Management and the Texas Business School, where he held lectures and taught executives as part of their Data Science and Analytics programs. His contributions helped bridge theoretical knowledge with real-world industry applications. One of his blogs on Bayesian networks has gained over 7,500 views, underscoring his ability to evaluate and present complex technical concepts clearly.