AI/ML Engineer – Supply Chain

Ford Motor Company

AI/ML Engineer developing and delivering AI solutions to optimize Ford's supply chain operations. Focused on building intelligent systems and bridging business challenges with technical execution.

Posted 6/22/2026full-timeDearborn • Missouri • 🇺🇸 United StatesMid-LevelSenior💰 $99,600 - $192,900 per yearWebsite

Tech Stack

Tools & technologies

CloudDockerFlaskGoogle Cloud PlatformGrafanaJenkinsKubernetesNoSQLPythonSDLCSQLTerraform

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

Bachelor's degree in computer science, Information technology, Data Science, or related technical field. A Master’s degree is good to have
5+ years of software engineering experience.
3+ years of progressive experience in AI/ML, data science, or advanced analytics, with a proven track record of delivering production-grade solutions in large enterprise environments.
Strong proficiency in Python and SQL. Familiarity with Graph Query Languages (e.g., Cypher) is good to have.
Demonstrated experience with MLOps principles and tools (e.g., GCP AI Platform, Kubeflow, MLflow) and designing / implementing AI-specific SDLCs.
Demonstrated experience in Infrastructure as Code (IaC) & CI/CD. Proficiency with Terraform for managing cloud infrastructure, alongside modern CI/CD tools such as Tekton, Jenkins, or GitHub Actions.
Experience in LLMOps capability: Experience designing, deploying, and maintaining LLM-powered applications in production, with focus on prompt engineering, RAG pipelines, safety controls, hallucination mitigation, observability, cost optimization, and continuous testing and evaluation using metrics like accuracy,F1,BLEU, ROUGE etc and frameworks like RAGAS , DeepEval etc
Strong technical expertise in cloud services (GCP/Vertex AI) and data integration patterns
Strong analytical, problem-solving, and critical thinking skills.
Exceptional communication & interpersonal skills, to translate complex AI logic into strategic recommendations for supply chain business leaders.
Must have 3+ years of experience in Python, FastAPI / Flask , REST APIs, SQL / NoSQL database, API authentication and authorization, Agent development and orchestration, Google ADK, Model Context Protocol , Prompt engineering and context management
Must have 1-2 years of experience in CI/CD pipelines, Tekton , Git / GitHub
Knowledge of RAG pipelines, Embeddings and vector search, LangChain / LangGraph, Kubernetes, Docker, Grafana or Dynatrace is desired by not a must have
Proven track record of using AI tools to enhance personal or team productivity (e.g., Agentic workflows, RAG-based requirement synthesis).
Experience in a product engineering role with a proven track record of translating business needs into technical specifications for applied AI implementation.
Understanding semantic ontologies and how they enable advanced analytics.
Functional understanding of supply chain operations, including demand & capacity planning, logistics, sustainability & risk management, resilience, etc.
Ability to research and rapidly apply & build a functional prototype that meets Ford’s standards for security and scalability.

Benefits

Comp & perks

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

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLMLOpsInfrastructure as CodeCI/CDTerraformGCP AI PlatformFastAPIREST APIsLLMOps

Soft Skills

analytical skillsproblem-solvingcritical thinkingcommunication skillsinterpersonal skillstechnical leadership

Certifications

Bachelor's degreeMaster's degree