Lead Platform Engineer - Agentic Issue Resolution, Air

You'll have...

• 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: agent workflows, orchestration, retrieval, and tool integration.

• Strong API and service design, testing, and maintainable code 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.

Even better, you may have...

• Manufacturing, quality, maintenance, or industrial operations experience.

• Knowledge graphs, ontologies, semantic search, or case-based reasoning.

• Event-driven systems, workflow engines, and production observability.

• Human-in-the-loop design for operational decisions.

• Google Cloud Platform experience.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:
• Immediate medical, dental, vision, and prescription drug coverage
• Paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• Generous vacation time, sick/personal time, and paid holidays, including between Christmas Eve and New Year’s Day

 

This position is leadership level 6 and ranges from $132,800-$250,800.

Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.


For more information on salary and benefits, click here: https://fordcareers.co/LL6

Visa sponsorship is not available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

This position is hybrid with a requirement to be onsite four or more days per week. 

#LI-Hybrid

#LI-MH5 

• 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.

Make Every Investigation Evidence-First

• 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.

Build It to Run in a Plant

• 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 Engineering

• 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.