Lead Platform Engineer, Agentic Issue Resolution (AIR)

Ford Motor Company is hiring a Lead Platform Engineer to design and lead AIR, an AI platform that helps plant teams investigate and resolve production issues. The role oversees reusable agent workflows, evidence-based recommendations, production readiness, and engineering leadership. Responsibilities Define the architecture across user experience, workflow orchestration, agents, tools, knowledge, evaluation, and feedbackBuild reusable components for issue intake, investigation planning, evidence retrieval, analysis, recommendations, and follow-upSet how agents call tools and plant systems through approved, permissioned interfacesRetrieve authorized sources before drawing conclusions, separate evidence from inference, and show the source behind every claimWork with plant experts to turn how they solve problems into modular, measurable workflowsCapture each validated fix as a reusable record the next plant can applyDefine 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 unsureSet standards for testing, versioning, release, rollback, monitoring, and production supportLead the AI agent and evaluation engineers on the AIR team, run design reviews, and coach the data scientists building agentsPartner with MLOps and evaluation engineers to measure agent behavior before release and monitor it after