Ford
Auto · Automaker
- HQ
- Dearborn, US
- Founded
- 1903
- Size
- 180,000+
- Website
- ford.com
Ford has 20 active job listings related to artificial intelligence. The majority of these roles, 60%, are focused on agents. Engineering is the dominant function, with 17 positions, and hiring is concentrated in the United States. Frequent technology tags include agent orchestration, RAG, and LLM observability, suggesting a focus on building and deploying AI agents. In the last 30 days, Ford has added 21 new AI roles, representing a 600% increase from the previous 30-day period.
Currently tracking 13 active AI roles, down 11% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $85k–$233k (avg $147k).
Ford currently has 33 active AI-related roles in our index. The most common open titles are: AI Engineer (2), Data Scientist (2), Analytics Integration Specialist, Applied AI/ML Software Engineer-Supply Chain AI and Decision Intelligence, Chief Engineer, AI Product Creation. Most positions are in Engineering and Product.
Ford's active AI hiring is concentrated in: agents (64%), application (15%), serving infrastructure (9%). 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 (33 roles).
Job postings at Ford most frequently reference: agent orchestration, model serving, rag, llm observability, inference infra.
In the past 30 days, Ford has posted 31 new AI-related roles. That is a +35% change versus the prior 30 days (23 → 31).
| Title | Stage | AI score |
|---|---|---|
| Battery Cell Integration and Testing Engineer This role focuses on research and testing of battery cells for integration into vehicle packs, aiming to improve quality, reduce cost, and validate performance against vehicle attribute targets. It involves planning and executing tests, analyzing cell-level data to understand performance and failure modes, and collaborating with R&A and Product Development teams on modeling and solutions. The role also requires defining requirements for testing fixtures and instrumentation, and reviewing fleet data for warranty issue root cause analysis and goal setting. Finally, it involves transferring developed technologies to product teams through verification testing. | — | 0 |
| Power Electronics Research Engineer Research Engineer focused on power electronics, silicon strategy for automotive inverters, and custom silicon/SiP solutions. Involves analysis, simulation, and measurement of high-frequency signals, with a focus on optimizing power density, efficiency, and EMI performance. | — | 0 |