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 |
|---|---|---|
| Senior Data Scientist Senior Data Scientist at Ford Credit focused on developing and deploying AI/ML solutions for customer experience, risk reduction, and operational efficiency. The role involves building scalable production-ready solutions across conversational AI, fraud detection, forecasting, and intelligent automation, with a strong emphasis on generative AI, LLMs, RAG, and AI agents for workflow automation. Requires experience in Python, ML frameworks, cloud platforms, and MLOps, with a focus on translating business challenges into technical solutions and ensuring responsible AI practices. | AgentServe | 8 |
| Sr. Software Engineer, AI Specialist Senior Software Engineer to lead the design and implementation of AI capabilities within an Intelligent Data Analytics Platform, focusing on multi-agent orchestration and semantic search. The role involves hands-on engineering of AI-powered applications, LLM integration, agent frameworks, embedding pipelines, and evaluation frameworks, with a focus on production-grade code and end-to-end feature ownership in a cloud environment (GCP). |
| AgentServe |
| 8 |
| 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 |
| AI Engineer AI Engineer role focused on developing Generative AI and Agentic AI applications, traditional ML models, and RAG pipelines within Ford's Global Data Insight & Analytics department. The role involves architecting safe, observable, and robust solutions, integrating LLMs with statistical techniques, and deploying within cloud platforms (GCP/AWS/Azure). Responsibilities include designing AI agents, implementing ML models, developing RAG pipelines, ensuring safety and compliance, building monitoring, and adopting evaluation frameworks. | AgentData | 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 |
| Full Stack Software Engineer, AI Integration Full Stack Software Engineer focused on integrating AI, specifically LLMs, into applications. The role involves architecting systems with autonomous agents, utilizing a Model Context Protocol for live data interaction, and providing real-time streaming experiences. Key responsibilities include designing agentic loops, implementing tool-use capabilities, integrating with proprietary data silos, developing high-concurrency back-ends and streaming front-ends, optimizing RAG pipelines, and establishing AI evaluation and observability. | Agent | 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 |
| 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 |
| Specialist, Yield Management - GTM AA Data Scientist Data Scientist role focused on building and integrating LLM-powered workflows and agentic systems for business insights and decision support, while also developing data pipelines and evaluating models. This is a hybrid role spanning data engineering, machine learning, and applied AI. | AgentData | 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 |
| 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 |
| Senior Software Engineer Senior Software Engineer role focused on developing and deploying cloud applications that integrate Generative AI, LLMs, and agentic workflows for industrial data analytics at Ford. Responsibilities include full lifecycle development, AI-assisted software engineering, and modern DevOps practices. | Agent | 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 |
| Vehicle Connected Data Manager This role focuses on leveraging connected vehicle data and AI/ML techniques to predict and identify emerging quality issues before they impact customers. It involves developing advanced analytics frameworks, designing scalable algorithms, and leading technical investigations for root cause analysis across various vehicle systems. The position requires strong experience in automotive systems, big data analytics, and cross-functional leadership. | Agent | 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 |
| AI Engineer AI Engineer role at Ford focused on designing, developing, and implementing AI/ML models and algorithms. Responsibilities include data preprocessing, feature engineering, model training, evaluation, tuning, and deployment, with a strong emphasis on using Gen AI technologies and cloud platforms. | Post-train | 7 |
| Product Lifecycle Management (PLM) Development & Deployment Specialist This role focuses on developing and deploying AI/ML capabilities within Ford's Product Lifecycle Management (PLM) and CAD toolchain. The specialist will design, develop, and integrate AI/ML solutions to automate engineering data validation, BOM reconciliation, part classification, anomaly detection, and predictive quality checks. Responsibilities include architecting and operating ML Ops pipelines for feature extraction, model training, CI/CD, monitoring, and deployment, with a strong emphasis on engineering data management and automation. | AgentData | 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 |
| Software Engineer Software Engineer role focused on developing scalable and maintainable software products leveraging AI/ML capabilities within Ford's Global Data Insight & Analytics division. The role involves hands-on development using Python, Java, and GCP services, with a strong emphasis on Vertex AI for model training, deployment, and pipeline orchestration. It also touches on agile processes, CI/CD, and cloud platform support. | ServePost-train | 7 |
| Applied Data Scientist Applied Data Scientist role focused on enhancing ADAS feature performance and predicting warranty costs by leveraging connected vehicle data. The role involves architecting data products and ML models, developing AI tools like RAG and Text-to-SQL, and building interactive AI/ML applications. Requires strong Python, SQL, cloud (GCP/BigQuery), and ML model experience, with a specific emphasis on Generative AI technologies. | Agent | 7 |
| Software Engineer Software Engineer to build the software ecosystem for AI Vision Systems, integrating ML models on edge hardware with cloud analytics. Responsibilities include edge software integration, full-stack API development, data architecture on GCP, web dashboard creation, and leveraging AI tools for development. | ServeAgent | 7 |
| Systems Engineer – End-to-End Software Diagnostics & Observability Ford is building an AI-powered End-to-End Software Diagnostics & Observability platform for modern vehicles. This role focuses on engineering AI-driven diagnostic capabilities, combining vehicle signals with LLM-based reasoning (RAG) to automate root-cause isolation and improve the ownership and service experience. The role involves full-lifecycle ownership from embedded systems to cloud services and AI/ML integration. | AgentServe | 7 |
| Systems Engineer Systems Engineer role focused on building AI-powered Embedded Vehicle Diagnostics capabilities. This involves integrating vehicle signals, diagnostics, logs, and engineering knowledge with AI/ML engineering to improve fault isolation, guide actions, and support escalations. The role bridges embedded systems, cloud services, diagnostics, and AI/ML, owning the full lifecycle from vehicle silicon to cloud neural networks. Responsibilities include defining requirements for data logging, integrating C++ firmware with Python microservices, maturing AI diagnostic workflows, production validation, fleet observability, system architecture, and evaluating AI reasoning. | AgentServe | 7 |
| Data Engineer- Full Stack Data Engineer role focused on building and scaling end-to-end data and AI pipelines on GCP, integrating Gen AI capabilities like LLM-powered enrichment, RAG, and intelligent automation. Responsibilities include designing data models, implementing CI/CD, data governance, and mentoring junior talent, with a focus on powering AI/ML workloads and next-generation AI experiences. | AgentData | 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 |
| 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 |
| Manufacturing Engineer (Vision SME) Manufacturing Engineer specializing in vision systems for industrial applications, focusing on developing and maintaining standards, implementing solutions, and resolving issues. While the role involves AI knowledge for vision systems, its core function is in manufacturing engineering and product application rather than core AI model development. | — | 5 |
| MFG Eng Specialist This role involves designing and implementing AI-powered vision control systems for manufacturing, focusing on quality control and process improvement. The specialist will work with various vision cameras, programming software, and automation systems, including PLCs, robots, and CNCs. Responsibilities include troubleshooting, maintaining equipment, and ensuring systems meet specifications and safety standards. The role also involves integrating AI vision systems into existing manufacturing lines and training personnel. | Serve | 5 |
| 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 |
| Full Stack Data Engineer Full Stack Data Engineer role at Ford, focusing on designing, developing, and maintaining applications, services, and data solutions for connected vehicle data use cases. The role involves working across backend (Java, Spring Boot, SQL) and frontend (React/Angular, TypeScript) technologies, event-driven architectures (Kafka), and cloud platforms (GCP, OpenShift/Kubernetes). Responsibilities include building APIs, data tools, implementing monitoring, and ensuring data governance. While not core AI development, the role has exposure to AI engineering concepts like RAG, embeddings, and LLM APIs, and encourages the use of AI-assisted development tools. | — | 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 |
| Financial Analyst – Workforce Analytics This role focuses on modernizing financial and labor reporting using large datasets and AI tools. The analyst will optimize reporting processes, ensure data integrity, and provide actionable business insights by consolidating, analyzing, and publishing global FTE and labor spend reports, partnering with HR and IT to implement structural changes in reporting tools, and providing financial analysis and insights to management regarding FTE authority changes and strategic labor capacity planning. | — | 5 |
| Director - Material/Vehicle Logistics & Customs IT This Director role focuses on leading the IT strategy, delivery, and maintenance of digital products for Ford's global supply chain, specifically in material/vehicle logistics and customs compliance. The role involves modernizing legacy systems using cloud offerings and an AI-First mindset, driving technical integration, and managing a global team. While AI is mentioned as a tool for modernization and innovation, the core function is not building AI models but leveraging AI-enabled solutions within the logistics domain. | — | 5 |
| Senior Manager- Intelligent Inventory Senior Manager role leading the global transformation of inventory management at Ford, focusing on SAP EWM deployment, intelligent labeling (GTL & RFID), and leveraging AI/ML for inventory optimization within industrial manufacturing and supply chain operations. | — | 5 |