Ford
Auto · Automaker
- HQ
- Dearborn, US
- Founded
- 1903
- Size
- 180,000+
- Website
- ford.com
Currently tracking 18 active AI roles, with 460 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$268k (avg $158k).
Ford currently has 28 active AI-related job listings. The majority of these roles, 50%, are focused on agents, with application roles making up another 21%. Engineering is the most frequent function hiring for these positions. Recent hiring trends show a decrease, with 23 new AI roles posted in the last 30 days, a 42% reduction compared to the preceding 30-day period.
Ford currently has 28 active AI-related roles in our index. The most common open titles are: Full Stack Software Engineer - AI Applications (2), AI Platform Administrator, Autonomous Robotics Launch Manager, Chief Engineer, AI Product Creation, DAT In-House Perception Algorithm Engineer. Most positions are in Engineering and Product.
Ford's active AI hiring is concentrated in: agents (57%), application (18%), serving infrastructure (14%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Ford is hiring AI talent in: United States (28 roles).
Job postings at Ford most frequently mention: Statistics, Python, Predictive Modeling, Machine Learning, GCP.
In the past 30 days, Ford has posted 22 new AI-related roles. That is a -41% change versus the prior 30 days (37 → 22).
| Title | Stage | AI score |
|---|---|---|
| Vehicle Intelligence & Integration, Product Manager Senior Product Manager to lead the strategy and execution of a consumer AI assistant on mobile, focusing on improving customer needs fulfillment and driving adoption/engagement. The role involves defining product vision, roadmap, and growth strategies, partnering with AI/ML and engineering teams to enhance assistant quality, and using data and AI evaluations for prioritization. | Agent | 7 |
| Data Scientist - Conversational AI Data Scientist for Ford's next-generation AI Digital Assistant, focusing on Product Analytics and Applied ML. The role involves NLP for utterance analysis, evaluating AI response quality, data integration on GCP, defining conversational metrics, and building dashboards. The goal is to enhance the driving experience by expanding the AI assistant from mobile to in-vehicle systems. | Agent | 7 |
| Technical Product Manager Technical Product Manager for Vehicle Electrical Software & Systems Engineering (VESSE) Ecosystem of AI Tools. Leads strategy and adoption of AI solutions to accelerate design, development, and validation of vehicle electrical and software systems. Uses low-code/no-code tools to prototype AI-driven engineering solutions, drives adoption of existing tools, and builds business cases for scaling innovations. Integrates AI tools with VESSE workflows and partners with data engineers for data access. | Agent | 7 |
| Product Manager & Data Science Supervisor This role supervises a global cross-functional team of data scientists, analysts, engineers, and designers to deliver analytics-driven solutions and product initiatives. The responsibilities include identifying opportunities for process optimization via data-driven approaches, organizing large datasets, applying data mining and machine learning models, creating visualizations, and working with IT to implement analytics tools. The role involves developing analytic models, supporting Reductive Design decisions, formulating problems, translating business requirements into analytical projects, and communicating findings to various stakeholders. It also includes project ownership, planning, tracking, and building advanced analytics models in the supply chain space, with a specific requirement for developing, fine-tuning, and deploying LLMs for NLP tasks. | AgentData | 7 |