AI Agent Engineer – Controls

Ford Motor Company

. Build agents that classify issues, plan investigations, call tools, and draft recommendations .

Posted 11/10/2026full-timeRedford • Michigan • United StatesMid-LevelSenior💰 $65,100 - $166,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and optimizing agents for issue classification and investigation planning, utilizing large language models and data science methodologies. Proficient in Python and SQL, with a strong understanding of manufacturing controls and knowledge graphs.

Highest-signal resume keywords

Large Language ModelsPython ProgrammingSQL ProficiencyAgent FrameworksManufacturing Controls

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceMachine Learning EngineeringSoftware EngineeringExperiment DesignModel Evaluation

Soft Skills

Problem-SolvingCollaboration

Tools & Technologies

Google Cloud PlatformVertex AILangGraphGoogle ADK

Industry Keywords

ManufacturingQuality ControlKnowledge GraphsOntologiesStructured Problem-Solving

Tech Stack

Tools & technologies

CloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Build agents that classify issues, plan investigations, call tools, and draft recommendations
Design multi-step and multi-agent workflows with clear hand-offs and stopping rules
Write and maintain prompts, tool definitions, and retrieval logic
Connect agents to production, quality, and maintenance data and to CoreMesh, Ford's manufacturing ontology and knowledge graph
Rank and filter evidence so agents reason on the right sources, and show those sources in every output
Have agents flag low confidence or missing data and hand off to a person
Test agents against shared evaluation sets before each release and add cases from plant experts
Analyze failures, compare approaches, and improve accuracy, cost, and response time
Turn user feedback and confirmed fixes into better agent behavior
Spend time with supervisors and engineers at Kentucky Truck Plant to understand how problems are solved
Ensure agents complete investigation steps reliably, show sources, state confidence, and support confirmed fixes

Requirements

What you’ll need

Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, or a related field, or equivalent experience
3+ years in data science, machine learning engineering, or software engineering, including production work
Experience with Mfg Controls
Hands-on experience building with large language models: prompting, retrieval-augmented generation, tool use, and agent frameworks
Strong Python and SQL
Experience designing experiments and evaluating model or system output
Visa sponsorship is available; candidates must be legally authorized to work in the United States
Preferred: Agent frameworks such as LangGraph or Google ADK and Model Context Protocol (MCP)
Preferred: Manufacturing, quality, or structured problem-solving experience (8D, 5-Why)
Preferred: Knowledge graphs or ontologies
Preferred: Google Cloud Platform and Vertex AI

Benefits

Comp & perks

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
Visa sponsorship is available