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 33 new AI-related roles. That is a +57% change versus the prior 30 days (21 → 33).
| Title | Stage | AI score |
|---|---|---|
| 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 |
| Livonia Transmission Plant Resident Engineer The Livonia Transmission Plant Resident Engineer acts as the on-site bridge between Product Development and Manufacturing Operations, ensuring first-time quality and rapid issue resolution. This role leverages AI/ML tools like MILO and Digital Birth Certificates to proactively catch defects, impacting warranty and launch quality targets. Responsibilities include representing Product Engineering on the plant floor, driving daily alignment, utilizing advanced analytics for issue isolation, owning change control, leading root-cause analysis, managing deviations, and supporting launch delivery. | Ship | 5 |
| Sales & Services AI – Senior Product Manager Product Manager for AI Products within Ford's Sales & Services group, focusing on developing and delivering AI solutions to enhance business operations, customer experience, and sales effectiveness. The role involves product strategy, roadmap development, stakeholder management, and leading cross-functional teams in the design, development, and deployment of AI products. | Ship | 5 |