Currently tracking 13 active AI roles, with 474 new openings in the last 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 31 new AI-related roles. That is a +35% change versus the prior 30 days (23 → 31).
| Title | Stage | AI score |
|---|---|---|
| Perception Systems Engineer This role focuses on designing, defining requirements, and creating analysis and testing methodologies for Near-Field Perception Systems in Advanced Driver Assistance Systems (ADAS) for Ford vehicles. It involves leveraging technologies like vision, radar, and ultrasonic sensors to enable vehicles to sense their environment, with a strong emphasis on system performance, robustness, and failure mode analysis. The role requires experience in systems engineering within the automotive or related industries and knowledge of probabilistic filtering and spatial mapping techniques. | — | 5 |
| DevOps Engineer Senior DevOps Engineer to architect and operationalize the DevOps strategy for Ford's API Gateway (Apigee), focusing on AIOps, SRE principles, and enabling AI/LLM workloads. The role involves modernizing CI/CD pipelines, leveraging AI-assisted development tools, and ensuring secure and efficient routing for AI APIs. | ServeAgent | 5 |
| AI-Accelerated Full Stack Software Development Engineer This role is for a Full Stack Software Development Engineer at Ford who will use AI to accelerate the software development lifecycle (SDLC) across vehicle engineering and product development. The engineer will design, build, and maintain secure and scalable web applications using Angular and GCP, applying AI-assisted development practices to improve productivity, code quality, and delivery speed. The role involves integrating applications with AI services, LLMs, and retrieval systems, and contributing to reusable AI platform capabilities. | Ship | 5 |
| Systems Safety Technical Lead Lead functional safety, SOTIF, and AI-enabled safety practices for next-generation vehicle platforms, focusing on ISO 26262, ISO 21448, and ISO PAS 8800. Architect safety processes, methods, and toolchains for safe, cyber-resilient vehicles. Partner with cross-functional teams, mentor engineers, and represent Ford in industry standards bodies. Requires 8+ years of automotive safety expertise and familiarity with modern technologies including AI. | — | 5 |
| Data Platform Product Manager Product Manager for Ford's Data Platform Engineering, focusing on data catalog, data product creation, and metadata management to ensure data is trustworthy, compliant, and AI-ready. The role aims to empower data-driven decisions across the company. | — | 5 |
| Vehicle Controls Engineer - Propulsion Controls This role develops advanced vehicle control algorithms for next-generation powertrain systems, focusing on performance, operation, and feel. It involves end-to-end development, including control architecture, simulation, and software implementation. The role also supports platform tools, leverages CAE models, defines testing, provides controls support, documents processes, and researches advanced controls applications. It leverages connected vehicle technologies, including AI/ML techniques, to enhance customer experience and prognostics. | — | 5 |
| Principal Product Manager, Core Data Systems The Principal Product Manager will lead the strategy and delivery of data products for Ford's manufacturing technology, including robotics, automation, and vision systems. This role focuses on ensuring data is captured, governed, and delivered securely and reliably to power manufacturing systems and enable analytics and ML teams. The position involves defining product roadmaps, building data products like telemetry and vision datasets, and driving standardization across systems. | Data | 5 |
| 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 |
| Staff Platform Software Engineer Staff Platform Software Engineer at Ford focused on building intelligent systems and agentic capabilities within the Enterprise Data Platform. The role involves defining best practices, leading architectural design, optimizing petabyte-scale data processing, enabling developer velocity through AI coding assistants and LLMs, developing agentic workflows, and driving infrastructure automation. The engineer will also mentor teams and communicate technical strategies to stakeholders. | Agent | 5 |
| Senior Software Engineer - Vehicle Cybersecurity Senior Software Engineer role focused on building secure and scalable web applications using Angular and GCP, with a strong emphasis on leveraging AI-assisted development practices and tools to enhance productivity across the SDLC. The role involves full-stack development, cloud-native engineering on GCP, and integrating AI services into enterprise applications. | — | 5 |
| Front-End Developer - Telemetry and Observability Platform This role is for a Front-End Developer focused on building user interfaces for Ford's Telemetry and Observability Platform (TOP). The interfaces will support dealer service technicians, V&V engineers, and manufacturing quality teams, visualizing AI-generated diagnostics and real-time vehicle telemetry. The developer will work with React, consume APIs, implement responsive design, and integrate frontend observability. | — | 5 |
| Solutions Engineer (PowerApps & Automation) This role focuses on building and automating internal corporate tools using Microsoft PowerApps and Power Automate, aiming to improve user experience and efficiency within Ford's Global Sourcing Services team. While not directly building AI models, the role involves leveraging AI capabilities within the Power Platform and exploring AI's potential for automation. | — | 5 |
| Product Manager-Sr. Specialist Product Manager role focused on delivering actionable vehicle health insights from ML models for connected vehicles. The role bridges technical data analysis, ML models, and customer/business value, with a strong emphasis on accuracy, trustworthiness, and quality of insights. Responsibilities include defining the end-to-end lifecycle of insights, establishing validation methodologies, championing product quality, translating business needs to technical teams, and ensuring data privacy and legal compliance. | Ship | 5 |
| UX Designer UX Designer and Researcher for Ford's manufacturing environments, focusing on digital and physical experiences, including interactions with humanoid and autonomous robots. The role involves designing interfaces for plant floor tools, HMIs, robotics control, and conducting user research to improve human-robot collaboration, productivity, and decision-making. | — | 5 |
| Senior Cloud Infrastructure Engineer, Connected Vehicle Division This role focuses on building and scaling the cloud infrastructure for an AI-powered diagnostics platform for connected vehicles. The engineer will manage GCP infrastructure, implement IaC with Terraform, handle container runtime environments, and ensure proper storage of model artifacts. They will also collaborate with security, networking, and AI/ML teams to ensure scalability and governance, and implement logging, monitoring, and alerting. | — | 5 |
| ADAS Vision Systems Engineer This role focuses on engineering the core ADAS camera system architecture, including requirements definition, design, and integration. It involves evaluating new camera technologies and ensuring the system supports AI/Data analysis needs for advanced driver-assistance features. | Ship | 5 |
| Technical Data Product Management Product Manager for a Data Quality Platform within Ford Pro Intelligence, focusing on ensuring trusted data health for fleet management services. The role involves defining metrics, driving adoption of the platform, and collaborating with engineering and business teams. | — | 5 |
| Global Recruitment Marketing Manager The Global Employer Brand & Recruitment Marketing Manager will improve how talent discovers, engages with, and chooses Ford by building and optimizing campaigns, channels, and experiences across paid media, CRM, AI-driven search, social, and career site platforms. This role requires strong ownership, a bias for action, and the ability to connect marketing activity to measurable hiring results. | — | 5 |
| Organizational Engagement & Executive Communications Specialist This role focuses on organizational engagement and executive communications within the Industrial System IT (IS IT) department at Ford. While it involves pioneering the use of AI-driven communication tools for content drafting, sentiment analysis, and asset creation, the core function is not building AI models but rather leveraging AI tools to enhance communication and storytelling for internal and external audiences. The role emphasizes leadership governance, strategic communications, and creative innovation, aiming to drive a high-performing culture and tell the IS IT story effectively. | — | 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 |
| Senior Staff Software Engineer Senior Staff Software Engineer at Ford focused on integrating AI into enterprise software development processes. The role involves architecting, developing, and maintaining services, coaching engineers on AI best practices, and driving the adoption of AI-enabled delivery processes. Requires strong Python, GCP, and CI/CD experience, with a focus on scaling platforms and people. | Ship | 5 |
| Staff Platform Software Engineer Staff Platform Software Engineer at Ford focused on building intelligent systems and agentic capabilities within the Enterprise Data Platform. The role involves defining best practices, leading architectural design, optimizing petabyte-scale data processing, enabling developer velocity through AI coding assistants and LLMs, developing agentic workflows, and driving infrastructure automation. The engineer will also mentor teams and communicate technical strategies to stakeholders. | Agent | 5 |
| Cloud Solution Architect Cloud Solution Architect role focused on designing and optimizing Generative AI architectures and autonomous agent systems within Google Cloud Platform. Responsibilities include collaborating with engineering teams, ensuring security and cost optimization, and integrating AI development tools. | Agent | 5 |
| Supply Chain Analyst, Business Operations Digitalization The Supply Chain Analyst, Business Operations Digitalization role at Ford focuses on driving operational excellence within the Global Supply Chain Business Office by implementing standardized processes, fostering cross-functional alignment, and leveraging advanced digital solutions. The analyst will identify process gaps, translate strategic priorities into scalable workflows, and architect tools and backend systems to enable efficient execution. This role emphasizes developing technical solutions to modernize and streamline supply chain operations, including designing automated workflows, creating data-driven dashboards, and building backend systems and integrations. While the role involves leveraging AI tools like LLMs and copilots to enhance decision-making and streamline operations, the core focus is on operational efficiency and digital transformation within the supply chain, rather than core AI/ML model development. | — | 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 |
| Director, Product Marketing - AI Optimization Director of Product Marketing focused on driving enterprise-wide adoption of AI products through strategy, campaigns, training, and cross-functional collaboration. This role emphasizes building a culture of AI adoption and measuring its impact. | — | 5 |
| Solutions Engineer - Software Factory Solutions Engineer to design, deliver, and manage enterprise-grade solutions across the Atlassian ecosystem and adjacent lifecycle tooling. This role will involve configuring Atlassian tools, developing integrations, and launching AI-powered workflows with practical governance and guardrails. | — | 2 |
| Director, MP&L Strategy and Transformation This role focuses on transforming material planning and logistics processes within Ford, leveraging advancements in the digital ecosystem, including AI capabilities. The Director will lead strategy development, process improvement, and system implementation (like a modern MRP system) to enhance material flow, manage inventory, and optimize supplier relationships. While AI is mentioned as a technical advancement and part of the digital ecosystem transformation, the core responsibilities revolve around traditional supply chain management, planning, and logistics. | — | 1 |
| Manager, IT Security Engineering, Ford Energy Manager, IT Security Engineering role focused on implementing, operating, and optimizing enterprise security platforms (SIEM, XDR, PAM, vulnerability management, network security) with an L3 escalation point for SOC support. The role involves platform management, SIEM/logging leadership, vulnerability management, operational excellence, network security, incident response, and collaboration with IT teams. It also mentions applying AI-assisted approaches to investigation and security operations and requires participation in an L3 off-hours on-call schedule. | — | 1 |
| Connected Vehicle Launch Quality Lead This role focuses on leveraging connected vehicle data and advanced analytics to identify and resolve Diagnostic Trouble Codes (DTCs) during new vehicle launches. The lead will manage cross-functional teams to address issues in critical subsystems like Infotainment, Body Control Modules, and ADAS, aiming to reduce costs and improve the customer experience. The role also involves driving the development of automated detection tools and analytics dashboards. | — | 1 |
| Manager IT Security Engineering, Ford Energy Manager IT Security Engineering role focused on implementing, operating, and optimizing enterprise security platforms, with an emphasis on SIEM, XDR, identity, and vulnerability management. The role acts as an L3 escalation point and involves applying AI-assisted approaches to security operations. | — | 1 |
| Technical Product Manager Technical Product Manager for Ford's Enterprise PLM platform, focusing on Dassault Systèmes 3DEXPERIENCE, BOM Management, and Enterprise Change Management. The role involves defining product vision, roadmap, and execution, bridging business needs with technical implementation teams to drive operational efficiency. | — | 0 |
| Design Program Manager This role is for a Design Program Manager at Ford, focusing on digital product design. The manager will provide program management and operational support, collaborating with design, product, and engineering teams to plan, manage, and deliver projects. Key responsibilities include streamlining processes, facilitating communication, managing risks, and ensuring project deadlines are met. The role requires experience in project/program management in a creative environment and working with global, cross-functional teams. | — | 0 |
| Senior Product Manager, Core ADAS Senior Product Manager for Ford's Core ADAS team, focusing on expanding the Operational Design Domain of BlueCruise and developing new ADAS features. The role involves cross-functional collaboration, translating customer needs into technical requirements, and analyzing the competitive landscape to enhance Ford's ADAS offering. | — | 0 |
| Production Supervisor - Chassis This role is for a Production Supervisor at Ford, focusing on leading a manufacturing team to achieve production targets, ensure quality, and drive operational excellence. It involves team leadership, safety enforcement, problem-solving, and data-driven decision-making within an industrial manufacturing environment. | — | 0 |
| Senior Director, Learning & Development Senior Director, Learning and Development role at Ford, focusing on leading teams, developing strategies, managing budgets, and overseeing talent management and development programs. The role involves partnering with senior leadership to address complex issues and ensure a compliant and ethical work environment. | — | 0 |
| Senior Specialist, HR Technology This role focuses on re-engineering business processes within HR technology to improve the employee experience. It involves using a 5D framework (Discover, Define, Diagnose, Design, Deliver) to create seamless and impactful outcomes, collaborating with HR and technology teams, and leveraging enterprise tools like Oracle HCM and Microsoft Dynamics 365. The role emphasizes user-centered research, process mapping, and experience design to enhance employee satisfaction. | — | 0 |
| SAP Production Planning (PP) Functional Lead Lead functional and technical aspects of SAP Production Planning (PP) module, including S/4 HANA ePPDS and iPPE, for Ford's Material Management Platform transformation initiative within the Industrial Systems IT Transformation effort. Responsibilities include requirements gathering, fit-gap analysis, system integration testing, and providing recommendations for continuous improvement in a hybrid work environment. | — | 0 |
| External Partnerships Analyst This role manages external partnerships for R&A, overseeing project lifecycles, compliance, financial oversight, and communication between internal and external stakeholders. It involves managing government grants and supporting audits. | — | 0 |
| Manager Hybrid Infrastructure & Hosting, Ford Energy Manager of Hybrid Infrastructure & Hosting for a new Battery Energy Storage System (BESS) manufacturing facility, responsible for architecting and operating computer platforms that balance high-performance local edge computing with enterprise-scale Google Cloud Platform (GCP) environments. The role involves managing cloud governance, cost optimization, security, on-premises physical hosting, edge compute solutions, virtualization, business continuity, monitoring, storage management, and project/vendor leadership during plant construction and go-live phases. | — | 0 |
| Product & Program Transition Leader This role focuses on transforming Ford's product data landscape by applying advanced architectural principles and developing programmatic solutions for data processing. It involves analyzing existing product structures, defining future states, and executing large-scale data transformations. | — | 0 |
| Supervisor - Research & Advanced Vehicle Integration Supervisor role leading the development, integration, and testing of advanced electrified propulsion systems and technologies for future vehicles. Responsibilities include leading teams for prototype builds, electrical architecture design, testing, and data analysis to evaluate new propulsion systems. Requires a strong understanding of electrified vehicle systems and leadership experience. | — | 0 |
| Domain Hardware Quality Engineer This role focuses on leading quality efforts for electronic modules and sensors in vehicles, driving warranty improvement through data analysis, root-cause analysis, and cross-functional collaboration with design, engineering, and suppliers. The goal is to enhance product quality and achieve R/1000 and throughput objectives. | — | 0 |
| Sr. Manager, Yield Management - Sprints This role is for a Sr. Manager in Yield Management at Ford, focusing on leading cross-functional "Value Sprints" to drive profit improvement and optimize product lines using advanced analytics and a data-driven approach. The role involves establishing sprint mandates, structuring workstreams, managing project execution, and presenting recommendations to leadership. | — | 0 |
| Test Automation Engineer, IVI This role is for a QA Automation Engineer focused on In-Vehicle Infotainment (IVI) systems at Ford. The engineer will be responsible for developing, maintaining, and executing automated test frameworks and scripts using Python, Pytest, and Appium for both hardware and software components. The role involves integrating these tests into CI/CD pipelines (Jenkins, GitHub Actions) and managing test cases in Testrail. Experience with Linux, communication protocols like CAN, Ethernet, WiFi, and Bluetooth is required. | — | 0 |
| Quality Program Manager VO/ PTO The Quality Program Manager (QPM) is responsible for ensuring a specific vehicle program meets all quality targets throughout its lifecycle, from concept to customer delivery. This role involves leading quality assurance and control systems, implementing quality management systems, supporting compliance (e.g., ISO/TS16949), monitoring performance indicators (GQRS, Warranty, JD Power), developing quality strategies, resolving supplier disputes, and managing personnel development. The role requires strong analytical, leadership, and communication skills, with a focus on driving operational excellence and delivering high-quality products. | — | 0 |
| Thermal Systems Engineer Ford is seeking a Thermal Systems Engineer to design, develop, and integrate fluid-based thermal management loops for electric passenger vehicles, focusing on the coolant subsystem. The role involves defining performance specifications, selecting components, developing and calibrating plant models, conducting thermal and fluidic analysis, and collaborating with other engineering teams. | — | 0 |
| Audio Tuning Engineer This role focuses on the engineering and tuning of in-vehicle audio systems for Ford, involving acoustic measurements, DSP system validation, and collaboration with hardware and software teams to ensure superior audio experiences. It requires experience in audio tuning, signal processing, and acoustic engineering. | — | 0 |
| Data Engineer, Automation & Controls, BlueOval Battery Park Michigan Data Engineer role at Ford's BlueOval Battery Park Michigan, focusing on developing data pipelines, automating data tasks, and connecting various systems within a manufacturing environment. The role involves data profiling, mapping, and modeling, with a mention of Industry 4.0 principles including AI/ML. | — | 0 |
| Driveline Axle Supervisor Supervise a team of Design and Release Engineers delivering all internally designed and manufactured axle systems for Ford, covering design engineering, validation, launch, and ongoing production quality. Requires strong Driveline skills and manufacturing experience. | — | 0 |