Senior AI Engineer

Ford • Dearborn, MI

6d • $99,600 - $192,900 • Hybrid

About The Position

Enterprise Technology plays a critical part in shaping the future of mobility. If you’re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people’s lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.
In this 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