Grand Rapids, MI7 days ago
li>Lead the research and evaluation of emerging AI technology, industry, and market trends (LLM and retrieval augmented generation, vector databases, agentic orchestration) to inform development and operational support across multiple teams; run proof of concept builds to validate architectural and physical assumptions, including where physics informed or surrogate modeling of engine analysis (CFD/FEA/thermal) is appropriate versus where it is not, before committing the team. Working fluency in the physics and engineering of aero engines and turbomachinery, aerodynamics, combustion, heat transfer, structures and rotordynamics, and materials, with the judgment to tell where a model is physically credible; familiarity with CFD, FEA, and thermal/structural simulation, engine and rig test data, surrogate and physics informed modeling, model based systems engineering, the digital thread, and PLM.