AI/ML Engineer - Supply Chain
About The Position
As an AI/ML software engineer in the Supply Chain IT space, you will be the driving force for delivering Ford’s "AI-First" supply chain transformation. This role is focused on the applied implementation of AI. You will develop and deliver the integration of high-performance models to solve complex supply chain problems. Central to this role is the adoption of an AI-Driven Software Development Life Cycle (SDLC) leveraging agentic workflows, AI-assisted coding, and automated testing to deliver robust solutions at industrial speed. You will bridge the gap between abstract business problems and scalable technical execution. This role demands a blend of technical expertise in AI/ML, advanced analytics and data platform engineering, functional expertise in supply chain, and strong technical leadership to influence stakeholders and deliver transformative results. You will focus on establishing and standardizing the AI-based SDLC. You aren’t just building chatbots. You are building intelligent global supply chain solutions, helping the business manage risk, build resilience, and keep our factories running. At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow’s transportation. We believe that freedom of movement drives human progress. Ford Information Technology (IT) is shaping the future of mobility by redefining the transportation landscape, enhancing the customer experience and improving people’s lives. Join the Ford family as we change the way the world moves.
Requirements
- Technical expertise in AI/ML
- Advanced analytics and data platform engineering
- Functional expertise in supply chain
- Strong technical leadership
Responsibilities
- Develop and deliver the integration of high-performance models to solve complex supply chain problems.
- Adopt an AI-Driven Software Development Life Cycle (SDLC) leveraging agentic workflows, AI-assisted coding, and automated testing.
- Bridge the gap between abstract business problems and scalable technical execution.
- Establish and standardize the AI-based SDLC.
- Build intelligent global supply chain solutions to help the business manage risk, build resilience, and keep factories running.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
