Senior AI Engineer

Ford Motor Company

. Design and build production-grade LLM applications, RAG solutions, and tool-using AI agents .

Posted 10/2/2026full-timeDearborn • Michigan • United StatesSenior💰 $99,600 - $192,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building production-grade LLM applications and retrieval pipelines, with a strong focus on Python development, automated testing, and CI/CD practices. Proven ability to collaborate with cross-functional teams to translate business needs into effective AI solutions.

Highest-signal resume keywords

Python DevelopmentLLM Application DeploymentAutomated TestingCI/CD PracticesSQL Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLLLM ApplicationsPrompt EngineeringFine-TuningRAG SolutionsAPIs DevelopmentAutomated TestingContainerizationQuantitative Metrics

Soft Skills

CollaborationProblem-SolvingUser EngagementCommunication

Tools & Technologies

GitLangChainLangGraphAutoGenSemantic Kernel

Industry Keywords

Machine Learning EngineeringApplied AIProduction SystemsResponsible AIData Science

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Design and build production-grade LLM applications, RAG solutions, and tool-using AI agents
Build retrieval pipelines covering ingestion, chunking, embeddings, hybrid search, reranking, grounding, and citations
Develop maintainable Python services, APIs, and reusable AI components
Deploy and operate solutions using automated testing, CI/CD, containerization, logging, and monitoring
Create evaluation datasets and automated tests measuring task success, groundedness, safety, latency, and cost
Monitor production systems for drift, failures, and cost anomalies
Apply responsible AI controls throughout the development lifecycle
Partner with Product, Software Engineering, Data Science, and Data Engineering to bring solutions from concept to production
Engage directly with planners, schedulers, and other end users to understand workflows and pain points
Evaluate emerging AI technologies based on business value, quality, and cost
Establish reusable patterns for the wider team

Requirements

What you’ll need

Bachelor's degree in Computer Science, Computer Engineering, Data Science, or a related technical field, or equivalent experience
5+ years in software engineering, ML engineering, or applied AI
Hands-on Python and SQL experience
Experience building or deploying LLM/agent-based applications, including prompt engineering, fine-tuning, RAG, or frameworks such as LangChain, LangGraph, AutoGen, or Semantic Kernel
Experience developing maintainable production services/APIs
Working knowledge of automated testing, Git workflows, code reviews, CI/CD, and containerization
Experience defining measurable quality criteria and evaluating AI/ML systems using quantitative metrics and structured human review
Proven ability to work with software engineering teams and business users to move solutions from concept to production
Demonstrated experience engaging directly with end users to shape and validate AI solutions
Proven ability to translate ambiguous business problems into technical solutions and interpret results for non-technical partners
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
Flexible family care days
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 schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off
Option to purchase additional vacation time