Senior AI Engineer
Ford Motor13 hours ago
Dearborn, MI, USASenior
Base Salary
$100k - $193k/yr
Responsibilities
- Design and build production-grade LLM applications, RAG solutions, and tool-using AI agents for forecasting, planning, scheduling, and order fulfillment.
- Build retrieval pipelines involving ingestion, chunking, embeddings, hybrid search, reranking, grounding, and citations.
- Develop maintainable Python services, APIs, and reusable AI components, and deploy and operate them in production.
- Create evaluation datasets and automated tests measuring task success, groundedness, safety, latency, and cost.
- Monitor production systems for drift, failures, cost anomalies, and model or agent behavior issues.
- Apply responsible AI, security, governance, human oversight, and adversarial testing controls throughout the development lifecycle.
- Partner with Product, Software Engineering, Data Science, Data Engineering, planners, schedulers, and other end users to move solutions from concept to production.
- Evaluate emerging AI technologies and establish reusable patterns based on measurable business value, quality, and cost.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Data Science, or a related technical field, or equivalent experience.
- At least 5 years of experience in software engineering, ML engineering, or applied AI.
- Hands-on experience with Python, SQL, and building or deploying LLM or agent-based applications, including prompt engineering, fine-tuning, RAG, or relevant frameworks.
- Experience developing maintainable production services and APIs, with knowledge of automated testing, Git workflows, code reviews, CI/CD, and containerization.
- Experience defining measurable quality criteria and evaluating AI or ML systems using quantitative metrics and structured human review.
- Proven ability to collaborate 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.
- Ability to translate ambiguous business problems into technical solutions and interpret results for non-technical partners.
- Preferred qualifications include a master’s degree or PhD, expertise in LLM application architectures and retrieval pipelines, agent orchestration and human-in-the-loop controls, production LLM or agent operations, AI observability, security and adversarial testing, cloud deployment with GCP preferred, vector databases, model hosting, and automotive, dealer, or supply-chain knowledge.
Benefits
- Immediate medical, dental, vision, and prescription drug coverage.
- Flexible family care days, paid parental leave, new-parent ramp-up programs, subsidized backup child care, adoption and surrogacy reimbursement, and fertility benefits.
- Vehicle discount program for employees and family members and management leases.
- Tuition assistance and established employee resource groups.
- Paid time off for community service, paid holidays including the week between Christmas and New Year’s Day, and the option to purchase additional vacation time.
- Hybrid work arrangement requiring onsite attendance four or more days per week.
Tech Stack
Categories
About Ford Motor
Ford Motor Company designs, manufactures, and sells cars, trucks, SUVs, and commercial vehicles for consumers and businesses, and provides financing through Ford Credit. A public company headquartered in Dearborn, Michigan and listed on the NYSE, it operates globally under the Ford and Lincoln brands, including electric and connected vehicles such as the F‑150 Lightning and Mustang Mach‑E. Founded in 1903, it also offers software-driven fleet, mobility, and aftersales services.