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 |
|---|---|---|
| Product Manager, AI Vision Systems Product Manager for AI Vision Systems in Ford's manufacturing quality domain, responsible for leading a global team, managing the full product lifecycle, and promoting AI/ML adoption to improve vehicle quality. | ShipAgent | 7 |
| Sr. Director, AI Platform Engineering & Enablement This role leads the AI strategy and enablement for an enterprise platform organization, focusing on evaluating, architecting, and governing AI capabilities across various providers. It involves defining roadmaps, driving adoption, establishing governance and financial management for AI, and managing strategic vendor relationships to ensure AI is integrated into platform operations and delivers business value. | Ship | 7 |
| Vehicle Prognostics - Applied Data Scientist Applied Data Scientist at Ford focused on developing and deploying prognostic features for vehicle components, using Physics-Informed Machine Learning, C++ edge model deployment, and end-to-end pipeline ownership from simulation to production. The role involves analyzing high-frequency signal processing, multi-sensor fault detection, causal inference, and big data ingestion. | ShipAgent | 7 |
| Data Management Manager Manager for Data Management at Ford Credit, focusing on leading the development and implementation of data, AI, and analytic solutions for risk management. The role involves partnering with teams to deliver insights, driving an AI-first strategy, and leading teams in planning and tracking analytic solutions. It also includes identifying new data sources, establishing data repositories, and benchmarking AI applications in risk management. | Ship | 7 |
| Chief Engineer, AI Product Creation Lead the strategic integration of AI and digital technologies into Ford's Global Product Development System (GPDS) to optimize engineering workflows, accelerate development cycles, and drive product excellence. This role involves architecting AI integration across the product creation lifecycle, recommending investments, designing systems for workflow optimization, leveraging historical data, enhancing virtual validation, and leading global cross-functional efforts to modernize systems and deploy next-generation tools. The focus is on tactical efficiency, system integration, and establishing a digital-first development cycle. | ShipAgent | 7 |
| Data Scientist The Data Scientist role at Ford focuses on leading the development and delivery of GenAI applications for the global marketing organization. This involves architecting and integrating data science algorithms, ensuring application performance, adhering to compliance standards, and mentoring junior scientists. The role requires experience with Python, SQL, cloud platforms, data processing pipelines, MLOps, A/B testing, and GenAI/ML model development using various frameworks and platforms. | ShipAgent | 7 |
| AI Engineer AI Engineer at Ford responsible for the end-to-end development and deployment of AI/ML models and solutions, focusing on improving customer experience and business efficiency. Requires experience in the full ML lifecycle, MLOps, and cloud deployment. | ShipServe | 7 |