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Studio Engineer; AI & Generative Workflows

Job in Dearborn, Wayne County, Michigan, 48120, USA
Listing for: Ford Motor Company
Full Time position
Listed on 2026-05-21
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Job Description & How to Apply Below
Position: Studio Engineer (AI & Generative Workflows)
Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation.

In this position...

As a Studio Design Engineer (AI & Generative Workflows), you will bridge the gap between visionary design and engineering reality by leveraging the next generation of computational tools. You won't just concept solutions; you will build the systems that optimize it. You will use vibe coding to rapidly prototype studio tools, utilize AI-driven 3D generation to accelerate surface scaffolding, and deploy autonomous agents to streamline the feasibility process.

Your goal is to move the studio from traditional CAD process to an AI-augmented environment where the "emotive character" of a design is protected by intelligent, real-time engineering feedback.

GSR - Studio Engineering (AI & Generative Workflows)

What you'll do...

* Architect AI Agents:
Develop and deploy custom AI agents to automate the monitoring of Design Development Checklists, data pedigree, and property setup integrity.

* Vibe Coding & Visual Scripting:
Use natural language-based programming (vibe coding) to create bespoke Python scripts or macros within Catia/3DX that automate repetitive "Studio property" setups and manikin drops.

* Generative 3D Scaffolding:
Lead the development of Surface Scaffold files by integrating AI-assisted 3D modeling tools (e.g., Vizcom, Luma AI, or Generative CAD) to rapidly explore "what-might-be" scenarios before committing to formal A-surface.

* Intelligent Feasibility:
Lead the completion of studies within Design Feasibility Checkpoint Process by using legacy and predictive AI models to identify potential hardpoint or legislative conflicts earlier than traditional methods allow.

* Augmented Integration:
Lead the integration of A-surface with thematic and functional inputs, using AI to ensure the emotive character of the art is preserved while meeting strict engineering and attribute requirements.

* Provocation & Optimization:
Provide concept alternatives through generative design prompts, using AI to provoke new ways of reconciling thematic intent with program assumptions.

* Data Orchestration:
Manage the flow of data into and out of the studio using automated pipelines, ensuring the "data pedigree" is maintained via intelligent version control.

What you'll do...

* Architect AI Agents:
Develop and deploy custom AI agents to automate the monitoring of Design Development Checklists, data pedigree, and property setup integrity.

* Vibe Coding & Visual Scripting:
Use natural language-based programming (vibe coding) to create bespoke Python scripts or macros within Catia/3DX that automate repetitive "Studio property" setups and manikin drops.

* Generative 3D Scaffolding:
Lead the development of Surface Scaffold files by integrating AI-assisted 3D modeling tools (e.g., Vizcom, Luma AI, or Generative CAD) to rapidly explore "what-might-be" scenarios before committing to formal A-surface.

* Intelligent Feasibility:
Lead the completion of studies within Design Feasibility Checkpoint Process by using legacy and predictive AI models to identify potential hardpoint or legislative conflicts earlier than traditional methods allow.

* Augmented Integration:
Lead the integration of A-surface with thematic and functional inputs, using AI to ensure the emotive character of the art is preserved while meeting strict engineering and attribute requirements.

* Provocation & Optimization:
Provide concept alternatives through generative design prompts, using AI to provoke new ways of reconciling thematic intent with program assumptions.

* Data Orchestration:
Manage the flow of data into and out of the studio using automated pipelines, ensuring the "data pedigree" is maintained via intelligent version control.
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