Job DescriptionIn this position... We are seeking a proactive
Supply Chain Tech Anchor (8+ years of experience) to lead the design, development, and deployment of full-stack products hosting advanced Supply Chain Analytics and Generative AI/LLM solutions (including Anthropic Claude). In this hybrid role based in Dearborn, MI, you will serve as the technical backbone of the team-writing clean code, designing robust data pipelines on GCP, and integrating machine learning models.
As a technical leader and Agile mentor, you will champion Test-Driven Development (TDD) and pair programming while collaborating closely with GDIA partners and Ford leadership to deliver high-impact MVPs.
Key Tech Stack: Java (Spring Boot), Python, Angular, SQL, GCP, and LLMs/Generative AI.(Note: This is a hybrid position requiring onsite collaboration at least once a week in Dearborn, MI).
What you'll do...- Lead & Architect: Create high-level designs, system-level sequence diagrams, and validate/apply architectural standards across the supply chain analytics ecosystem.
- AI & ML Integration: Integrate Machine Learning algorithms and build robust, production-ready applications powered by Generative AI and LLMs (such as OpenCode) to optimize supply chain decision-making.
- Engineering Excellence: Practice and champion software engineering excellence by writing clean, well-crafted, and highly maintainable code.
- Data Pipelines: Architect and build distributed, fault-tolerant data pipelines from scratch to ingest, process, and serve massive datasets.
- Ensure supported data and software products align with enterprise policies.
- Hands-on Mentorship: Pair program with team members, mentor engineers on clean code practices, and guide the team on Extreme Programming (XP) and Agile ways of working.
- Agile Practices: Advocate for and implement Test-Driven Development (TDD), continuous integration, and iterative delivery principles.
- Product Delivery: Work closely with Product Owners and GDIA partners to define, prioritize, and deliver Minimum Viable Products (MVPs) using Jira.
- Change Agent: Help Product Development Office (PDO) teams adopt new, modern ways of working and actively contribute to Ford's institutional knowledge base.
You'll have...- Education: Bachelor's degree in computer science, Software Engineering, or a related technical discipline.
- Experience: 10+ years of professional software engineering experience, with a proven track record of delivering customer-facing full-stack products.
- Backend Development: Strong experience in Java (including Spring Boot) and Python.
- Frontend Development: 3+ years of experience with Angular, React (or similar modern client-side MVC frameworks).
- Data Engineering: 3+ years of experience with SQL and building out highly distributed, fault-tolerant data pipelines.
- Cloud Services: 2+ years of hands-on experience with Google Cloud Platform (GCP)
- AI & LLM Capabilities:
- Practical experience integrating Large Language Models (LLMs) like OpenCode or GPT into web applications.
- Solid understanding of prompt engineering, Retrieval-Augmented Generation (RAG) architectures, and vector databases, MCP Protocol, and Agentic systems.
- Basic understanding of core Machine Learning concepts and potential supply chain use cases.
- Agile & Tools: Strong experience working in an Agile/PDO environment using Jira for backlog management.
- Soft Skills: Outstanding written and oral communication skills, with the ability to confidently present technical concepts to Ford leadership and collaborate across diverse teams
Even better, you may have...- Advanced GCP Stack: Deep familiarity with GCP services including BigQuery, Cloud Composer, Dataflow, CloudSQL, GCS, Cloud Functions, and Pub/Sub.
- Big Data & Streaming: Experience with open-source big data technologies such as Apache Spark, Hadoop, and Kafka.
- DevOps & CI/CD: Proficiency in Continuous Integration/Continuous Delivery tools and pipelines (e.g., Jenkins, Gradle, GitHub Actions).
- Advanced AI: Experience fine-tuning LLMs, building agentic AI workflows, or deploying ML models into production environments.
- Testing Rigor: Strong background in Automated Testing frameworks (Unit, Integration, and End-to-End testing).
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 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.
This position is a salary grade 5 - salary grade 8 and ranges from $68,300-$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.
For more information on salary and benefits, click here: New Hire Benefits
Visa sponsorship is available for this position.
This position is hybrid with a requirement to be onsite four or more days per week.
#LI-Hybrid#LI-MG1 
