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 |
|---|---|---|
| Generative AI Engineer - Ford Pro Intelligence This role focuses on engineering LLM-powered applications for Ford Pro Intelligence, integrating natural language experiences with enterprise data, cloud services, and operational workflows. The engineer will work on agent orchestration, tool calling, prompt engineering, structured data grounding, evaluation, safety, observability, and production deployment, aiming to ship production GenAI features that improve customer workflows and operate reliably in an enterprise software environment. | AgentServe | 8 |
| Data Scientist Seeking an experienced Data Scientist to architect, develop, and deploy end-to-end agentic Generative AI full-stack applications for engineering challenges. This role involves designing MLOps pipelines, integrating cloud AI tools, developing front-end interfaces, and translating business needs into AI/ML solutions. | AgentServe |
| 8 |
| Applied AI/ML Software Engineer-Supply Chain AI and Decision Intelligence Applied AI/ML Engineer to lead Ford's AI-First supply chain transformation by integrating AI models into Enterprise Knowledge Graphs. The role focuses on applied implementation, agentic workflows, and an AI-Driven SDLC to solve complex supply chain problems, manage risk, and build resilience. Responsibilities include business requirement gathering, model integration, graph-based AI implementation, AI-Driven SDLC execution, pipeline/MLOps engineering, and technical standardization. | Agent | 8 |
| Software Engineer Software Engineer to build the software ecosystem for AI Vision Systems, focusing on edge software integration, full-stack API development, data architecture, and web interfaces, while leveraging AI tools for development. | ServeAgent | 7 |
| Senior Data Scientist (AI Specialist) Senior Data Scientist at Ford focused on developing, deploying, and integrating AI/ML models, including LLMs and deep learning, into production systems. The role involves model training, fine-tuning, orchestration workflows, and building supporting infrastructure, with a focus on delivering actionable insights and analytics products for business goals. | AgentServe | 7 |
| 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 |
| Manager, Yield Management - GTM AA Data Scientist Manager of AI/ML Solutions leading a team of 4-6 data scientists and AI/ML engineers to design, build, and deploy production-grade AI/ML models for predictive demand forecasting, dynamic segmentation, and yield optimization. The role emphasizes hands-on leadership, MLOps, responsible AI, and the integration of Agentic AI solutions. | AgentServe | 7 |
| Sr. Manager, Yield Management - GTM Advanced Analytics Senior Manager to lead the strategic development, deployment, and enhancement of AI/ML solutions for Yield Management at Ford. This role involves leading a team to transform business processes using predictive modeling, forecasting, segmentation, and optimization algorithms, with a focus on delivering end-to-end production-grade AI solutions. Key responsibilities include managing the AI/ML lifecycle, developing demand sensing algorithms, driving innovation with Agentic AI, establishing MLOps and Responsible AI practices, and collaborating with business stakeholders. | AgentData | 7 |
| DAT In-House Perception Algorithm Engineer Develops and integrates ADAS perception algorithms using C++ for embedded systems, applying machine learning and computer vision techniques to ADAS solutions with sensors like LiDAR, Radar, USS, and Camera. Requires experience in ADAS vehicle testing, data processing, validation, MISRA C++ coding standards, CI/CD pipelines, Git, and Agile methodologies. | Agent | 7 |
| 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 |
| Software Engineer, AI Enablement Software Engineer to design and build AI-powered agents for intelligent discovery, recommendation, and management of enterprise ontology assets, requiring strong software engineering skills and practical AI experience in information discovery, recommendation, and search. | Agent | 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 Seeking an AI/ML Engineer with a strong technical background in Data Science, MLOps, and AI/ML Engineering to deliver analytical, machine learning, and AI solutions. The role involves the full ML lifecycle from data preprocessing to model deployment, with a focus on improving customer experience, revenue, and efficiency. Must have experience with Gen AI technologies and cloud platforms. | Post-train | 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 |
| Staff Engineer, Ford Pro Intelligence Staff Engineer role focused on architecting and evolving data and AI-driven platforms, integrating real-time data processing and AI into products. Responsibilities include designing scalable backend systems, defining data architecture, leading real-time data pipelines, integrating LLMs and RAG patterns using GCP Vertex AI, optimizing GCP infrastructure, setting API standards, and providing technical governance and mentorship. Requires expertise in Java, Python, GCP, data engineering, AI engineering (prompt engineering, fine-tuning, vector databases), and distributed systems. | Agent | 7 |
| Principal AI/ML Engineer (Cybersecurity & AIOps) Principal AI/ML Engineer focused on cybersecurity and AIOps, leading the design, development, and deployment of AI/ML solutions. This role involves building and operationalizing models for anomaly detection, predictive analytics, and classification, with a strong emphasis on Generative AI and Agentic AI for automation and threat intelligence. The engineer will architect ML pipelines, work hands-on with data, and translate technical outcomes for stakeholders, bridging data science with security operations. | AgentServe | 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 |
| Studio Engineer (AI & Generative Workflows) This role involves architecting and deploying AI agents to automate design checklist monitoring, data pedigree, and property setup integrity. It also includes using natural language-based programming (vibe coding) for prototyping studio tools, integrating AI-assisted 3D modeling for surface scaffolding, and leveraging predictive AI models to identify potential conflicts in the feasibility process. The goal is to transition the studio to an AI-augmented environment that preserves the emotive character of designs while meeting engineering requirements. | Agent | 7 |
| Senior Cybersecurity Platform Engineer Senior Cybersecurity Platform Engineer responsible for designing, implementing, and maintaining security platforms for enterprise cybersecurity operations, with a specific focus on securing AI/ML systems against cyber threats, adversarial attacks, and data breaches. This includes defining security guidelines, assessing risks, conducting vulnerability assessments, ensuring data and model protection, and implementing access controls for AI systems. | Agent | 7 |