Lead Platform Engineer, Agentic Issue Resolution (AIR)

Ford Motor Company is hiring a Lead Platform Engineer to design and scale AIR, an AI platform that helps plant teams investigate and resolve production issues. The role leads platform architecture and engineering, builds evidence-based agent workflows and reusable components, and ensures the platform is secure, reliable, and production-ready.

Responsibilities:

• Define the architecture across user experience, workflow orchestration, agents, tools, knowledge, evaluation, and feedback
• Build reusable components for issue intake, investigation planning, evidence retrieval, analysis, recommendations, and follow-up
• Set how agents call tools and plant systems through approved, permissioned interfaces
• Retrieve authorized sources before drawing conclusions, separate evidence from inference, and show the source behind every claim
• Work with plant experts to turn how they solve problems into modular, measurable workflows
• Capture each validated fix as a reusable record the next plant can apply
• Define APIs and data contracts with CoreMesh (our manufacturing knowledge graph), FPS+ (the digital version of the Ford Production System), and InZone (the mobile app supervisors use to run a shift)
• Build in identity, permissions, audit logging, human approval steps, and clear escalation when the system is unsure
• Set standards for testing, versioning, release, rollback, monitoring, and production support
• Lead the AI agent and evaluation engineers on the AIR team, run design reviews, and coach the data scientists building agents
• Partner with MLOps and evaluation engineers to measure agent behavior before release and monitor it after