Currently tracking 13 active AI roles, down 11% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $85k–$233k (avg $147k).
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.
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 33 new AI-related roles. That is a +57% change versus the prior 30 days (21 → 33).
| Title | Stage | AI score |
|---|---|---|
| Data Engineering Manager This role is for a Data Engineering Manager at Ford Pro 360, focused on designing and maintaining enterprise data architecture to support AI monetization and Agentic AI workflows. The role involves leading data engineering initiatives, ensuring data governance, and enabling AI/ML models and GenAI infrastructure. | DataAgent | 7 |
| Suspension Foundation Engineering Supervisor This role focuses on developing and implementing AI capabilities to enhance engineering efficiency within Ford's suspension division. The primary responsibility is to build and grow AI tools, including a virtual AI expert for each commodity and process, and to integrate these AI advancements into the Suspension University's training and technical maturity models. The role involves managing foundation initiatives, tracking open items, and supporting technical design reviews, with a strong emphasis on improving engineering processes and product quality through AI. | Data | 7 |
| Director, Data Engineering and Architecture Director of Data Engineering and Architecture at Ford, focused on establishing AI Readiness by defining enterprise standards for AI-ready data, driving platform evolution, and designing data foundations for AI agents and RAG applications. This role requires leadership in data ingestion, transformation, representation, and ensuring scalability, cost-efficiency, and compliance within a GCP environment. | DataAgent | 5 |