AI Engineer

• Design and implement supervised and unsupervised machine learning models (e.g., regression, classification, clustering) and statistical experiments to support data-driven decision-making.
• Develop advanced RAG (Retrieval-Augmented Generation) pipelines and API connectors to ingest and synthesize data from diverse sources, including internal databases, unstructured technical documents, and external third-party data.
• Implement robust safety layers and input/output validation using specialized frameworks (e.g., Google Model Armor) to prevent hallucinations, ensure data privacy, and maintain compliance.
• Build comprehensive monitoring pipelines using advanced evaluation tools (e.g., Arize Phoenix, Langfuse) to trace agent reasoning steps, track token usage, and monitor latency in production.
• Adopt rigorous evaluation frameworks (e.g., Ragas, GenAI Evaluation Service) to measure performance. Stay updated on research papers and cutting-edge algorithms in both the GenAI and ML domains.
• Develop and deploy AI solutions exclusively within the Cloud Platform (GCP/AWS/Azure) ecosystem, utilizing Vertex AI, Cloud Run, and BigQuery.

Do you have experience in Unsupervised learning?, Do you have a Bachelor's degree?, * Bachelor's degree in a quantitative field such as Computer Science, AI, Statistics, Mathematics, Information Systems or equivalent combination of relevant education and experience.

• 3+ years of professional experience in Data Science or Software Engineering, with a strong dual focus on Generative AI/LLM applications and traditional Machine Learning.
• 2+ years of hands-on experience with supervised/unsupervised learning and statistical modeling
• 2+ years of technical experience that includes:

• Proven experience building Agentic workflows (reasoning loops, tool use/function calling) rather than simple chatbots.
• Deep understanding of the GCP stack for AI/Data (Vertex AI, BigQuery).
• Expert proficiency in Python for building autonomous agents and model interaction (e.g., LangGraph, LangChain, Google ADK).
• Advanced proficiency in Python libraries such as Scikit-learn, NumPy, Pandas, Matplotlib, TensorFlow, or PyTorch.
• Skilled in integrating diverse data sources via SQL, Vector Databases, and APIs. Experience with data augmentation and efficient loading techniques.
• Proficiency in observability frameworks, guardrail implementation, and the Model Context Protocol (MCP).
• Deep experience with GCP services, specifically Vertex AI, Cloud Run, and BigQuery for deploying scalable AI solutions.

Even better, you may have...

• Master's degree or PhD in a quantitative field (e.g., Computer Science, AI, Statistics, Mathematics, or Engineering).
• Ability to decompose complex business challenges into executable AI agent workflows and technical specifications.
• Excellent verbal and written communication skills, with a demonstrated ability to translate complex technical information into simple, understandable language for non-technical audiences.
• Strong skills in building relationships and collaborating effectively with stakeholders to contribute to data-driven decision-making

4.04.0 out of 5 stars Dearborn, MI Hybrid work $99,600 - $192,900 a year - Full-time, Pulled from the full job description

• Tuition reimbursement
• Paid parental leave
• Prescription drug insurance
• Parental leave
• Health insurance
• Paid time off
• Employee discount, You may not check every box, or your experience may look a little different from what we've 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 builder…or 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 childcare 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.

This position is a salary grade of 7 or 8 and ranges from $99,600- 192,900.

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

At Ford, you'll work on ideas that matter, alongside passionate people who want to make a global impact. Together, we're shaping the next era of transportation-grounded in purpose, driven by progress. Make your move., We made history and now we work to transform the future - for our customers, our communities and our families. You'll 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. Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making. In this position... The Global Data Insights and Analytics (GDIA) department is looking for qualified individuals who can develop scalable solutions to complex real-world problems using Generative AI, Agentic Workflows, Machine Learning, and Statistics. Our goal is to drive evidence-based decision-making by providing insights from data across various domains, including Connected Vehicle, Smart Mobility, Manufacturing, Supply Chain, and Warranty Analytics. As an AI Engineer, you will play a critical role in leveraging data science to drive significant business impact. You will lead the development of Agentic AI applications and traditional ML models, building intelligent systems that can reason through complex scenarios while also providing predictive and prescriptive insights. You will be responsible for architecting solutions that are not only intelligent but safe, observable, and robust. You will bridge the gap between modern Large Language Models (LLMs) and traditional statistical techniques, ensuring that AI agents operate within strict guardrails and are backed by rigorous data analysis Based in Dearborn, MI, this is a hybrid position with a required four-day onsite presence each week.Relocation assistance may be available for qualified candidates. What you'll do... * Design and build state-of-the-art AI agents using modern orchestration frameworks (e.g., LangGraph, LangChain, Google ADK) to automate complex reasoning tasks.