Ford
Auto · Automaker
- HQ
- Dearborn, US
- Founded
- 1903
- Size
- 180,000+
- Website
- ford.com
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.
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 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 |
|---|---|---|
| Data Anchor Ford is seeking an AI/ML Engineer to build and scale data platforms and AI/ML solutions for automotive manufacturing. The role involves architecting and deploying ML models, managing IIoT pipelines, and leveraging Generative AI with tools like Gemini Enterprise on GCP. Responsibilities include data anchoring, cloud infrastructure management, and model monitoring. | ServeData | 7 |