Lead Platform Engineer, Agentic Issue Resolution (AIR)

Ford • Redford Charter Twp, MI,US

6d • $132,800 - $250,800 • Hybrid

About The Position

The Lead Platform Engineer will lead development of AIR (Agentic Issue Resolution), an AI platform within Ford’s Advanced Industrial Technology and Platforms (ATP) organization. AIR helps manufacturing plant teams investigate and resolve production issues by gathering approved evidence from plant systems, connecting it with existing plant knowledge, and recommending fixes for human review and approval. Confirmed fixes are captured for reuse across plants.

The role defines AIR’s architecture across user experience, workflow orchestration, agents, tools, knowledge, evaluation, and feedback, and builds reusable components for issue intake, investigation, evidence retrieval, analysis, recommendations, and follow-up. The engineer establishes approved and permissioned interfaces to plant systems, evidence-first investigation practices, and APIs and data contracts with CoreMesh, FPS+, and InZone.

The position also establishes security and operational controls, testing and release standards, and production support practices. It leads AIR’s AI agent and evaluation engineers, conducts design reviews, coaches data scientists, and partners with MLOps and evaluation engineers to measure agent behavior before release and monitor it in production. The role is hybrid, with an onsite requirement of four or more days per week.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent experience.
• 7+ years 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, testing, and maintainable-code skills in Python, TypeScript, Go, or Java.
• Experience designing secure systems with authorization, audit logging, and operational controls.
• Clear communication with engineering, data, security, and plant teams.

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 with human-in-the-loop design for operational decisions.
• Google Cloud Platform experience.

Responsibilities

• Define AIR platform 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.
• Establish how agents access tools and plant systems through approved, permissioned interfaces.
• Ensure investigations retrieve authorized sources before drawing conclusions, distinguish evidence from inference, and show sources for claims.
• Work with plant experts to translate 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, permission, audit logging, human approval, and escalation controls into the platform.
• Set standards for testing, versioning, release, rollback, monitoring, and production support.
• Lead AIR’s 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 backup 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