Senior AI Engineer

Ford Motor Company • Dearborn, MI

6d • $99,600 - $192,900 • Hybrid

About The Position

The Order Fulfillment Technology team is seeking a Senior AI Engineer to design, build, deploy, and operate production-grade AI solutions supporting forecasting, planning, and scheduling. You'll build retrieval-augmented generation applications and controlled AI agents that generate grounded recommendations and automation with human oversight. This is a hands-on role for someone who can move AI solutions beyond prototypes into secure, scalable, and trustworthy production services.

Requirements

• 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, including hands-on Python, SQL, and experience building or deploying LLM/agent-based applications (e.g., prompt engineering, fine-tuning, RAG, or frameworks such as LangChain, LangGraph, AutoGen, Semantic Kernel).
• Experience developing maintainable production services/APIs, with 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.

Nice To Haves

• Master's degree or PhD in a quantitative or technical field.
• LLM application architectures (RAG, tool calling, multi-agent orchestration, memory management) and retrieval pipeline design (embeddings, chunking, hybrid search, reranking).
• Structured outputs, workflow orchestration, agent state management, and human-in-the-loop controls.
• Deploying and maintaining LLM/agent systems in production, including prompt versioning and CI/CD integration.
• Implementing logging, tracing, dashboards, and cost/latency monitoring for model or agent behavior.
• Testing for prompt injection, data leakage, unsafe tool execution, or unauthorized access.
• Deploying LLM/agent solutions in a cloud environment (GCP preferred), with familiarity with vector databases and model hosting.
• Familiarity with Automotive OEM data, dealer relationships, or supply chain logistics.

Responsibilities

• Design and build production-grade LLM applications, RAG solutions, and tool-using AI agents to improve decision speed, accuracy, and transparency.
• Build retrieval pipelines covering ingestion, chunking, embeddings, hybrid search, reranking, grounding, and citations, producing recommendations that are traceable and earn user trust.
• Develop maintainable Python services, APIs, and reusable AI components; deploy and operate them 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 for drift, failures, and cost anomalies.
• Apply responsible controls throughout the development lifecycle, exercising sound judgment on when generative AI is warranted versus a simpler, deterministic solution.
• Partner with Product, Software Engineering, Data Science, and Data Engineering to bring AI solutions from concept to production.
• Spend time directly with planners, schedulers, and other end users to understand real workflows and pain points, ensuring AI solutions are grounded in how decisions are actually made.
• Evaluate emerging AI technologies based on measurable business value, quality, and cost. Establish reusable patterns the wider team can build on.

Benefits

• 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 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
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree