Senior AI Engineer

Description

We made history and now we work to transform the future for our customers our communities and our families. Youll see your work on the road every day helping people move freely and pursue their dreams. At Ford you can build more than vehicles. Come build what matters.

Enterprise Technology plays a critical part in shaping the future of mobility. If youre looking for the chance to leverage advanced technology to redefine the transportation landscape enhance the customer experience and improve peoples 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. Youll 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.

What youll do...

• AI Application Development: Design and build production-grade LLM applications RAG solutions and tool-using AI agents to improve decision speed accuracy and transparency.
• Retrieval Pipelines: Build retrieval pipelines covering ingestion chunking embeddings hybrid search reranking grounding and citations producing recommendations that are traceable and earn user trust.
• Engineering & Deployment: Develop maintainable Python services APIs and reusable AI components; deploy and operate them using automated testing CI/CD containerization logging and monitoring.
• Evaluation & Monitoring: Create evaluation datasets and automated tests measuring task success groundedness safety latency and cost; monitor production for drift failures and cost anomalies.
• Responsible AI & Governance: Apply responsible controls throughout the development lifecycle exercising sound judgment on when generative AI is warranted versus a simpler deterministic solution.
• Stakeholder Partnership: Partner with Product Software Engineering Data Science and Data Engineering to bring AI solutions from concept to production.
• User Engagement: 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.
• Continuous Improvement: Evaluate emerging AI technologies based on measurable business value quality and cost. Establish reusable patterns the wider team can build on.

Youll have...

• Education: Bachelors degree in Computer Science Computer Engineering Data Science or a related technical field or equivalent experience.
• Technical 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).
• Software Engineering Practices: Experience developing maintainable production services/APIs with working knowledge of automated testing Git workflows code reviews CI/CD and containerization.
• Evaluation Discipline: Experience defining measurable quality criteria and evaluating AI/ML systems using quantitative metrics and structured human review.
• Collaborative Delivery: Proven ability to work with software engineering teams and business users to move solutions from concept to production.
• User-Centered Practice: Demonstrated experience engaging directly with end users to shape and validate AI solutions.
• Communication: Proven ability to translate ambiguous business problems into technical solutions and interpret results for non-technical partners.

Even better you may have...

• Advanced Degree: Masters degree or PhD in a quantitative or technical field.
• Technical Domain Expertise: LLM application architectures (RAG tool calling multi-agent orchestration memory management) and retrieval pipeline design (embeddings chunking hybrid search reranking).
• Agent Control & Orchestration: Structured outputs workflow orchestration agent state management and human-in-the-loop controls.
• Production Experience: Deploying and maintaining LLM/agent systems in production including prompt versioning and CI/CD integration.
• AI Observability: Implementing logging tracing dashboards and cost/latency monitoring for model or agent behavior.
• Security & Adversarial Testing: Testing for prompt injection data leakage unsafe tool execution or unauthorized access.
• Cloud & Model Infrastructure: Deploying LLM/agent solutions in a cloud environment (GCP preferred) with familiarity with vector databases and model hosting.
• Industry Context: Familiarity with Automotive OEM data dealer relationships or supply chain logistics.

You may not check every box or your experience may look a little different from what weve outlined but if you think you can bring value to Ford Motor Company we encourage you to apply!

As an established global company we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe or keep you close to home Will your career be a deep dive into what you love or a series of new teams and new skills Will you be a leader a changemaker a technical expert a culture builderor all of the above No matter what you choose we offer a work life that works for you including:

• 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 Years Day

  • Paid time off and the option to purchase additional vacation time.

This position is a salary grade 7 salary grade 8 and ranges from $99600-$192900.

Final determination of salary grade will be based on candidates skills and experience and base salary will be set within the applicable range according to job scope responsibility and competitive market value.

*Internal applicants: moving into this role may result in an adjustment to your current compensation based on the posted pay range for this role taking into consideration your qualifications and other relevant factors.

For more information on salary and benefits click here: New Hire Benefits

Visa sponsorship is not available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race religion color age sex national origin sexual orientation gender identity disability status or protected veteran the United States if you need a reasonable accommodation for the online application process due to a disability please call 1-.

This position is hybrid with a requirement to be onsite four or more days per week.

#LI-Hybrid #LI-MG1

Required Experience:

Senior IC