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 |
|---|---|---|
| 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 |
| Manager, Uptime AI Product Manager for Uptime AI at Ford, focused on transforming the Customer Service Division's ecosystem into a proactive, AI-driven pipeline. The role centers on the Quality Early Warning (QEW) system, utilizing LLMs and advanced analytics to detect vehicle concerns early, reduce repair order duration, and prevent SLA breaches. Responsibilities include collaborating with data scientists, leading proactive system innovation, developing strategic action plans, and owning dashboards and executive storytelling. | Agent | 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 |
| 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 |
| Product Manager & Data Science Supervisor This role supervises a global cross-functional team of data scientists, analysts, engineers, and designers to deliver analytics-driven solutions and product initiatives. The responsibilities include identifying opportunities for process optimization via data-driven approaches, organizing large datasets, applying data mining and machine learning models, creating visualizations, and working with IT to implement analytics tools. The role involves developing analytic models, supporting Reductive Design decisions, formulating problems, translating business requirements into analytical projects, and communicating findings to various stakeholders. It also includes project ownership, planning, tracking, and building advanced analytics models in the supply chain space, with a specific requirement for developing, fine-tuning, and deploying LLMs for NLP tasks. | AgentData | 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 |
| 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 |
| 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 |
| Senior Technical Program Manager The Senior Technical Program Manager will lead the execution of complex technical programs for the Digital Birth Certificate (DBC) Program, which connects plant process data, station information, repair data, and images to VINs. This role involves bridging business strategy, product management, and engineering execution, with a focus on the DBC Assistant, an AI Agent designed to guide users through data analysis and accelerate problem-solving. | Agent | 5 |
| Global Customer Relationship Center, Digital Experience Manager The Digital Experience Manager will lead the AI transformation and digital product strategy for the Global Customer Relationship Center, focusing on creating connected, omnichannel customer experiences through digital tools like chatbots, co-browse, and screen share. | Agent | 5 |
| Analytics Integration Specialist This role focuses on implementing, validating, testing, and productionalizing predictive models and risk strategies, bridging the gap between analytical model development and production deployment. It involves modernizing legacy processes, automating batch testing workflows, and leveraging cloud services (GCP) and GenAI tooling, including agentic frameworks, to transform analytics delivery. | Agent | 5 |
| Full Stack Senior Software Developer This role focuses on root cause resolution within the In-Vehicle Infotainment (IVI) domain, investigating complex software failures using system logs, core dumps, and other diagnostic artifacts. It involves leading investigations, analyzing source code, and resolving architectural defects. A key aspect is utilizing AI tools, LLMs, and RAG to accelerate trace parsing and train diagnostic models, while also analyzing vehicle communications and performing in-vehicle validation. The role requires expertise in full-stack development across HMI, backend services, and low-level embedded software (C/C++), with a strong emphasis on debugging and system reliability in an Agile/Scrum environment. | Agent | 5 |
| Product Manager – Automation/Intelligent Workflows Product Manager for Ford Motor Credit Company's enterprise automation and intelligent workflow initiatives. This role owns the product discipline for the automation program, focusing on business value, ROI, user experience, and strategic road mapping. The PM will act as a liaison between business stakeholders and engineering teams, identifying opportunities, documenting requirements, performing feasibility screening (including AI-assisted tools), quantifying ROI, prioritizing the intake pipeline, and tracking value realization. Experience with RPA, workflow orchestration, and a conceptual understanding of AI/ML models is required, with a preference for Fintech/financial services background. | Agent | 5 |
| Controls Engineer - Propulsion and Energy Controls Controls Engineer for Ford's Research and Advanced Engineering team, focusing on developing control systems for electrified vehicle powertrains. The role involves algorithm design, simulation, virtual and physical validation, dynamic system modeling, and integrating connected vehicle data with machine learning models for energy management. It emphasizes applying modern software practices and AI integration for future vehicle programs. | Agent | 5 |
| Platform and Capabilities Systems Engineer This role focuses on developing and automating backend pipelines for platform systems engineering at Ford, including requirements, DFMEA, and capability dictionaries. It involves automating gap analysis, optimizing engineering processes, and using LLMs for quality analysis of engineering artifacts. The role also involves leading DevOps process design, experimenting with automation for pipeline processes, and integrating cross-functional team inputs. | Agent | 5 |