The Generative AI Career Masterplan: Navigate the future of AI with practical insights from industry pioneers at AI-first organizations

Dr. Ali Arsanjani is a pre-eminent technical executive who bridges architectural rigor and large-scale organizational strategy with industrial-scale execution. Widely recognized as the "father of SOA", he has led transformational initiatives across multiple organizations. He currently serves as Director of Applied AI Engineering at Google Cloud, where he leads the GenAI Blackbelts, a center of excellence that bridges research, forward-deployed engineering, and enterprise implementation. In this role, he drives strategic co-engineering programs with Google's most critical customers and partners, accelerating enterprise adoption of generative AI and agentic AI.

Sadid Hasan, Ph.D., is a Principal AI Leader in the Microsoft AI Development Acceleration Program within the Office of the CTO, where he drives enterprise-scale research and development of advanced generative and agentic AI for Office Copilots and Azure AIOps. With more than 20 years of experience in AI research and innovation, he has led groundbreaking work in generative AI, natural language processing, and machine learning, authoring hundreds of peer-reviewed publications and patents. Before Microsoft, he held AI leadership roles at CVS Health and Philips Research. He is a recognized thought leader, frequent keynote speaker, and was recently named one of the 100 most influential AI leaders in the United States.

Maxime Labonne is Head of Post-Training at Liquid AI. He holds a Ph.D. in Machine Learning from the Polytechnic Institute of Paris and is a Google Developer Expert in AI/ML. He has made significant contributions to the open-source community, including the LLM Course, tutorials on fine-tuning, tools such as LLM AutoEval, and best-in-class models such as NeuralDaredevil. He is the author of the best-selling books LLM Engineer's Handbook and Hands-On Graph Neural Networks Using Python.

Andreas Horn is an enterprise AI and automation leader with over a decade of experience helping organizations turn emerging technology into practical, scalable operating capability. He has worked with leading technology companies, including IBM and Microsoft, and advised large enterprises on redesigning operations around AI, automation, and resilience. Andreas focuses on moving AI beyond experimentation into measurable, reliable, production-ready use. He advises senior leaders on enterprise AI adoption, speaks on AI-powered operations and organizational change, teaches AI and innovation at universities, and helps organizations build lasting AI capability grounded in real production environments. He mentors professionals and future leaders.

Leonid Kuligin is a Staff AI Engineer at Google Cloud, working on generative AI and classical machine learning solutions, including agentic AI, demand forecasting, and optimization problems. He is also an Associate Researcher at TUM University Hospital, Technical University of Munich. With over two decades of experience, Leonid has a proven track record of building B2C and B2B applications and solving users' problems across domains such as search, maps, knowledge extraction, and investment management for leading German and Russian technology, financial services, and retail companies.