We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves?

Enterprise Technology plays a critical part in shaping the future of mobility. If you’re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance customer experience and improve people’s 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.

The **VSSE- Ecosystem of AI Tools (VSSE-EAT)**is at the forefront of Ford’s mission to integrate artificial intelligence into the heart of vehicle engineering. We are looking for a Technical Lead to lead a multidisciplinary team in transforming a fragmented collection of 0 to 1 stage AI projects into a robust, interconnected, and enterprise-scale ecosystem to drive quantified business value.

In this role, you will move beyond managing individual features. You will be the visionary architect of a platform that allows AI tools to collaborate using advanced frameworks such as Agent to Agent(A2A) or Model Context Protocol (MCP). You will empower both engineers and non-technical employees by building a low-code agent builder, ensuring that the power of AI is accessible across all of Ford Product Development.

Why this role?

This is a rare opportunity to set the standard for how a global automotive leader uses AI. You aren't just using tools; you are building the factory that creates them.

• Bachelors degree in computer science, Engineering, or a related technical field, Masters degree preferred.
• 7+ years in software development
• 2+ years focused on Generative AI
• 3+ years of experience defining product vision, strategy, product roadmaps and building and managing backlogs
• 2+ years working with Agile software methodologies (Scrum, e Xtreme Programming, Kanban)
• AI/ML Fundamental Literacy: Deep understanding of the LLM lifecycle, including fine-tuning, Retrieval-Augmented Generation (RAG), and the difference between probabilistic and deterministic outputs.
• Software Engineering Foundation: A background in professional software development (e.g., Python, Java, or C++). You must be able to discuss system architecture, API design, and latency trade-offs with your engineers.
• Architecting for Scale: Proven experience taking a software product from a local "lab" environment to a production environment supporting hundreds of concurrent users (knowledge of Kubernetes, cloud scaling, and load balancing).
• Protocol & Framework Knowledge: Ability to quickly master and implement emerging protocols like Model Context Protocol (MCP) and multi-agent orchestration frameworks (e.g., Lang Chain, Auto Gen, or CrewAI).
• Data Systems: Proficiency in navigating complex data environments, specifically how to integrate AI tools with enterprise data lakes while maintaining governance.
• Lifecycle Management: Experience managing the "Maturity Pipeline” - moving products from Discovery/POC through Beta to a hardened Production state.
• Platform Thinking: Ability to move beyond "single-feature" thinking to build an extensible ecosystem where tools share context and interact via a unified framework.
• Metric-Driven Leadership: A track record of optimizing Time to Market (TTM) and User Adoption. You should be able to demonstrate how you’ve used telemetry and user feedback to pivot or accelerate a product.
• Squad Leadership: Experience leading a diverse team of Data Scientists, Full-stack/Front-end Developers, and Designers. You must be able to speak all their "languages."

Preferred qualifications:

• Automotive Domain Expertise: Familiarity with Ford-specific data structures (Hardware signals, Electrical architecture, or Vehicle Software versions). Understanding the "V-Model" or PD engineering cycles is a huge plus.
• Low-Code/No-Code Product Experience: Prior experience building or managing an "Agent Builder" or a "Self-Service" platform that empowers non-technical users to create their own workflows.
• Advanced AI Research Interest: A candidate who proactively follows AI research (Ar Xiv papers, GitHub trending repos) and can translate academic "hype" into industrial "utility."
• Design-First Mindset: While it’s a technical role, experience working with Product Designers to simplify complex AI interactions into intuitive UI/UX for Ford employees.
• Compliance & Governance: Experience working within highly regulated industries (Automotive, Fin Tech, or Healthcare) where data privacy and safety standards are non-negotiable.

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 8.

For more information on salary and benefits, click here: https://fordcareers.co/GSRSP2

Visa sponsorship IS available for this position.

Relocation IS available for this position.

This role is based in Dearborn, MI and you are expected to commute 4x a week.

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 committed to a culturally diverse workforce. 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 status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

Key Responsibilities

1.

Scaling & Standardization:

• From POC to Production: Lead the re-architecting of tools currently in Discovery or POC stages to ensure they are compliant with Ford standards and can scale to support 1000s of global users.
• Robust Frameworks: Collaborate with your squad of Full-stack, Data and DevOps engineers to build an integrated and extensible framework that is both robust and efficient.
• Governance: Establish the "rules of the road" for AI tools within the ecosystem, ensuring they are secure, compliant, and maintainable.

2.

Ecosystem Orchestration & MCP Leadership:

• Multi-Agentic Strategy: Design the framework for a multi-agentic architecture where specialized agents (focused on hardware, electrical, or software) can collaborate seamlessly.
• MCP at Ford: Take the lead in implementing the enterprise standard for **Model Context Protocol (MCP) **in the VSSE ecosystem. You will define how different AI agents and tools share context and data to solve complex automotive problems in a secure and scalable way.
• Low-Code Empowerment: Drive the product roadmap for an Agent Builder that allows non-technical business customers to create and deploy AI agents, while maintaining the technical depth required for engineering teams.

3.

Cross-Functional Leadership & Metrics:

• Squad Leadership: Lead a dedicated team of Data Scientists, Product Designers, and Developers. You are the "glue" that connects user experience (UX) with deep data science and backend stability.
• Business Collaboration: Work closely with business customers to understand Ford-specific data (Hardware, Electrical, Software) to ensure data integrity and alignment.