Lead Platform Engineer, Agentic Issue Resolution (AIR)

Ford Motor Company • Louisville, KY

6d • $132,800 - $250,800 • Hybrid

About The Position

Ford Motor Company is hiring a Lead Platform Engineer for Agentic Issue Resolution (AIR) within its Advanced Industrial Technology and Platforms (ATP) organization. AIR is an AI system designed to help plant teams investigate and resolve production issues by gathering approved evidence from plant systems, connecting it to existing plant knowledge, and recommending fixes for human review and approval. Confirmed fixes are recorded for reuse across plants.

The role will define and build the AIR platform architecture across user experience, workflow orchestration, agents, tools, knowledge, evaluation, and feedback. It will establish reusable investigation components and approved interfaces to plant systems, while ensuring evidence-based, traceable recommendations and secure, production-ready operation. The engineer will set platform standards and lead the AIR engineering team, working with plant experts, data scientists, MLOps, and evaluation engineers.

This is a leadership level 6 position with a salary range of $132,800–$250,800. It is hybrid, with a requirement to work onsite four or more days per week. Visa sponsorship is not available; candidates must be legally authorized to work in the United States.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent experience.
• At least 7 years of experience building production software platforms or distributed systems, including technical leadership.
• Hands-on experience building applications on large language models, including agent workflows, orchestration, retrieval, and tool integration.
• Strong API and service design skills, testing experience, and ability to write maintainable code in Python, TypeScript, Go, or Java.
• Experience designing secure systems with authorization, audit logging, and operational controls.
• Clear communication skills with engineering, data, security, and plant teams.
• Must be legally authorized to work in the United States; visa sponsorship is unavailable.

Nice To Haves

• Experience in manufacturing, quality, maintenance, or industrial operations.
• Knowledge of knowledge graphs, ontologies, semantic search, or case-based reasoning.
• Experience with event-driven systems, workflow engines, and production observability.
• Experience designing human-in-the-loop processes for operational decisions.
• Google Cloud Platform experience.

Responsibilities

• Define AIR 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.
• Define how agents use tools and plant systems through approved, permissioned interfaces.
• Ensure investigations retrieve authorized sources before drawing conclusions, distinguish evidence from inference, and show the source for every claim.
• Work with plant experts to convert problem-solving practices into modular, measurable workflows.
• Capture validated fixes as reusable records for application at other plants.
• Define APIs and data contracts with CoreMesh, FPS+, and InZone.
• Build identity, permissions, audit logging, human approval steps, and escalation processes for cases where the system is uncertain.
• Set standards for testing, versioning, release, rollback, monitoring, and production support.
• Lead AI agent and evaluation engineers, run design reviews, and coach data scientists building agents.
• Partner with MLOps and evaluation engineers to measure agent behavior before release and monitor it afterward.

Benefits

• Immediate medical, dental, vision, and prescription drug coverage.
• Paid parental leave, new parent ramp-up programs, and subsidized back-up child care.
• Family-building benefits, including adoption and surrogacy expense reimbursement and fertility treatments.
• Vehicle discount program for employees and family members, and management leases.
• Tuition assistance.
• Employee resource groups.
• Paid time off for individual and team community service.
• Vacation time, sick/personal time, and paid holidays, including between Christmas Eve and New Year’s Day.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior