Lead AI Engineer

Honeywell AerospaceSouth Bend, IN
Hybrid

About The Position

As a Lead AI Engineer at Honeywell Aerospace, you will provide expert-level technical leadership in the development of AI-driven engineering design tools and physics-based machine learning models. This role focuses on applying artificial intelligence, physics-informed methods, and surrogate modeling to accelerate the design and analysis of aerospace mechanical systems, including wheels and brakes, fuel systems, environmental control systems, and other complex components. You will help shape the next generation of simulation and analysis capabilities by integrating AI with traditional computational tools such as CFD, FEA, and multi-physics solvers. In this role, you will craft and lead multi-year AI strategies, develop advanced AI surrogates and Physics-AI models, and transition these technologies into engineering workflows across Honeywell Aerospace. You will collaborate with cross-functional teams and global research partners, pursue both internal and government research funding, and guide execution from concept through integration. Your work will significantly impact engineering efficiency, product performance, and Honeywell Aerospace leadership in AI-enabled engineering design.

Requirements

  • Expert-level technical leadership in AI-driven engineering design tools and physics-based machine learning models.
  • Application of artificial intelligence, physics-informed methods, and surrogate modeling.
  • Integration of AI with traditional computational tools (CFD, FEA, multi-physics solvers).
  • Crafting and leading multi-year AI strategies.
  • Development of advanced AI surrogates and Physics-AI models.
  • Transitioning AI technologies into engineering workflows.
  • Collaboration with cross-functional teams and global research partners.
  • Pursuit of internal and government research funding.
  • Guidance of execution from concept through integration.

Responsibilities

  • Provide expert-level technical leadership in the development of AI-driven engineering design tools and physics-based machine learning models.
  • Apply artificial intelligence, physics-informed methods, and surrogate modeling to accelerate the design and analysis of aerospace mechanical systems.
  • Integrate AI with traditional computational tools such as CFD, FEA, and multi-physics solvers.
  • Craft and lead multi-year AI strategies.
  • Develop advanced AI surrogates and Physics-AI models.
  • Transition AI technologies into engineering workflows across Honeywell Aerospace.
  • Collaborate with cross-functional teams and global research partners.
  • Pursue internal and government research funding.
  • Guide execution from concept through integration.
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