Job DescriptionIn this position... In this role, you will be the primary technical owner of our Generative AI and Cloud ecosystem. You will operate with a high degree of autonomy, tackling ambiguous, complex engineering challenges and setting the overarching technical direction for our GenAI layer. You won't just be calling APIs; you will be building sophisticated agentic AI systems and the end-to-end infrastructure required to support them. If you are passionate about pushing the boundaries of autonomous AI agents, cloud-native deployment, and full-stack development to solve real-world engineering problems, this is the role for you.
ResponsibilitiesWhat you'll do...- Architect & Innovate: Design and deploy agentic GenAI workflows leveraging modern frameworks (LangChain, LangGraph) and Model Context Protocol (MCP) integrations.
- Cloud & AI Operations: Deploy and operate robust AI solutions natively on GCP and Vertex AI.
- Ensure Quality & Safety: Own LLM evaluation, prompt/agent observability, and implement strict guardrails for output quality and safety.
- Full-Stack Development: Design and ship highly responsive frontends (React / TypeScript) that make AI outputs intuitive and actionable for engineering teams.
- Technical Leadership: Act as a force multiplier for the team by introducing reusable AI patterns, establishing tooling, and mentoring engineers to elevate delivery efficiency across the broader group.
QualificationsYou'll have...- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
- 2+ years building full-stack production applications (JavaScript/TypeScript, React, HTML; backend with Node.js/Next.js or Python), including 2+ years building production React/TypeScript UIs.
- 2+ years designing and building agentic workflows with AI frameworks (LangChain, LangGraph, Google ADK) alongside Context Engineering and MCP.
- Demonstrated experience in AI evaluation and agent/prompt observability (e.g., RAGEval, LangSmith/Langfuse, OpenTelemetry, agent trajectory/tool-use analysis).
- 2+ years deploying cloud-native applications, with hands-on experience in GCP and Generative AI (Vertex AI) (Hard Requirement).
Even better, you may have...- Master's degree in Computer Science, Engineering, or a related field.
- Applied depth in GenAI, including model/agent evaluation, prompt optimization, and NLP using PyTorch/TensorFlow/Keras and Hugging Face.
- Experience building conversational/streaming AI user interfaces (e.g., token streaming, tool-call rendering, agent trace visualization).
- Automotive domain experience (e.g., connected vehicle data, vehicle engineering, or manufacturing).
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 6-8 and ranges from $85,400-$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:
This position is hybrid with a requirement to be onsite four or more days per week. #LI-Hybrid
#LI-PS2
