Lead Platform Engineer, Agentic Issue Resolution

Ford Motor Company

. Define the AIR platform architecture across user experience, workflow orchestration, agents, tools, knowledge, evaluation, and feedback .

Posted 11/2/2026full-timeUnited StatesSenior💰 $132,800 - $250,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building production software platforms with a focus on API design, secure systems, and modular workflows. Proven ability to lead technical teams and collaborate across engineering, data, and operational domains.

Highest-signal resume keywords

Production Software Platforms DevelopmentAPI Design and Service IntegrationLarge Language Models Application DevelopmentSecure Systems Design and AuthorizationGoogle Cloud Platform Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonTypeScriptGoJavaWorkflow OrchestrationEvent-Driven SystemsKnowledge GraphsSemantic SearchHuman-in-the-Loop DesignModular Workflow Development

Soft Skills

Clear CommunicationTechnical LeadershipCoaching

Tools & Technologies

CoreMeshFPS+InZoneAudit LoggingOperational Controls

Industry Keywords

ManufacturingQualityMaintenanceIndustrial Operations

Tech Stack

Tools & technologies

CloudDistributed SystemsGoogle Cloud PlatformJavaPythonTypeScriptGo

About the role

Key responsibilities & impact

Define the 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
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 problem-solving practices into modular, measurable workflows
Capture each validated fix as a reusable record for other plants
Define APIs and data contracts with CoreMesh, FPS+, and InZone
Build identity, permissions, audit logging, human approval steps, and escalation processes
Set standards for testing, versioning, release, rollback, monitoring, and production support
Lead AI agent and evaluation engineers, run design reviews, and coach data scientists
Partner with MLOps and evaluation engineers to measure agent behavior before release and monitor it afterward

Requirements

What you’ll need

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
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
Candidates must be legally authorized to work in the United States
Visa sponsorship is not available

Benefits

Comp & perks

Immediate medical, dental, vision, and prescription drug coverage
Paid parental leave
New parent ramp-up programs
Subsidized back-up child care
Family building benefits including adoption and surrogacy expense reimbursement
Fertility treatments
Vehicle discount program for employees and family members
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
Paid holidays, including between Christmas Eve and New Year’s Day