A key responsibility is integrating a Retrieval Augmented Generation (RAG) model with our data-centric architecture platform to answer complex queries on best-in-class process planning and optimized layout generation. This role will leverage generative AI and RAG for design optimization, knowledge retrieval, and improved decision-making, while integrating real-time data (eventually feeding into MES), implementing a robust systems engineering approach, and ultimately bridging the gap between digital design and physical manufacturing. The successful candidate will have extensive experience in virtual manufacturing, data-centric architectures, and RAG model implementation. This is a highly impactful leadership role shaping our future manufacturing capabilities.