Ford Motor Company

Product Designer

• Translate early concepts into thorough, thoughtful, testable design solutions and prototypes.
• Define customer experiences and interactions across both physical and digital experiences, and processes that connect new features into cohesive solutions.
• Partner with engineers, technologists and studio design to explore best possible solutions, explore feasibility, rapidly iterate and test ideas, and refine concepts.
• Collaborate across design, engineering, and product teams to ensure experiences align with customer needs and technical realities, and business objectives.
• Distill complex information into clear strategies, frameworks and narratives that drive alignment and promote ongoing execution to delivery.
• Proactively identify opportunities to integrate new technologies into meaningful, customer-driven experiences.
• Craft, coordinate and present to leadership and executives through ongoing review cycles in partnership with product, engineering and research partners.

Software Engineer

• Develop, optimize, and troubleshoot CNC programs (G-code) using CAM software (e.g., Mastercam, Fusion 360, Siemens NX) based on 3D CAD models and engineering drawings.
• Set up and operate CNC milling machines including selecting appropriate tooling, fixturing, and cutting parameters to achieve desired part geometries and surface finishes.
• Produce precision parts and components for prototype vehicles, ensuring adherence to tight tolerances and quality standards.
• Work closely with design engineers to understand design intent, identify potential manufacturing challenges, and provide feedback on design manufacturability.
• Continuously evaluate and improve CNC machining processes to increase efficiency, reduce cycle times, and minimize material waste.
• Inspect finished parts using precision measuring instruments to verify conformance to specifications.
• Manage and maintain an organized inventory of CNC tooling, ensuring availability of necessary tools for upcoming projects.
• Maintain accurate records of CNC programs, setup sheets, and machining parameters.
• Adhere to all safety procedures and protocols to ensure a safe working environment.

CNC Programmer/Operator

Solutions Engineer

• To define the SAP OTC architecture and solution design strategy, ensuring alignment with business objectives, enterprise architecture principles, and Clean Core standards.
• Evaluate, design, and govern end-to-end solutions across SAP S/4HANA, SD, FI/CO, MM, EWM, BTP, Datasphere, SAC, Fiori, while enabling seamless integration with third-party platforms such as Adobe, Vertex, and OpenText, and Ford's enterprise cloud ecosystem including GCP, Apigee, Cloud Run, BigQuery, and IICS.
• To provide architectural guidance for complex enterprise integration using APIs, middleware platforms, and cloud technologies, including Google Cloud Platform (GCP), ensuring scalable, secure, and standards-compliant solution designs.
• To partner with product and delivery teams to define Functional Specifications and solution designs that align with SAP Clean Core principles, minimizing custom development and maximizing the use of standard SAP capabilities.
• To collaborate with stakeholders with enhancement requests and proposed solutions, ensuring alignment with enterprise architecture standards, governance policies, and SAP best practices.
• To jointly assess the architectural impact of new business requirements across processes, integrations, data models, applications, and the broader enterprise landscape, and to co-design scalable, supportable solutions that align with strategic architecture direction and standards.
• To collaborate with product teams on design changes to existing configurations to ensure continued uninterrupted operations.
• To evaluate custom solutions within the SAP ERP landscape to ensure alignment with enterprise architecture principles and SAP best practices.
• To deliver the technical design to data analytics, integration fabric, security and cyber defense, hosting, and client infrastructure.
• To provide architectural guidance for enterprise integration using APIs, middleware platforms, and cloud technologies, including Google Cloud Platform (GCP), ensuring scalable, secure, and standards-compliant solution designs.
• To provide architecture support such as troubleshooting complex performance issues.
• To guide the product teams in the development of the SAP ERP implementation of platform reference patterns and best practices.
• To lead the vendor architecture evaluation and hands-on proof-of-concept (PoC).
• To influence future product development by contributing to the framework (architecture) used across multiple products or systems.
• To ensure compliance with security, audit, regulatory, and data governance requirements across SAP solutions and integrations.
• To operate effectively in a fast-paced environment, managing multiple priorities and deliverables simultaneously.

SAP Solution Architect – Order-to-Cash

Platform Engineer

• This role requires a leader who brings deep technical knowledge of enterprise AI platforms and the strategic judgment to look across every platform EPEO offers — spanning leading AI and cloud platform providers — and define where AI belongs, what it should change, and how the organization gets there.
• The Senior Director, AI Platform Engineering & Enablement brings two equally weighted mandates. On the engineering side, this leader applies deep technical judgment to evaluate, architect, and govern how AI capabilities are integrated across EPEO’s platform portfolio — ensuring what is deployed is the right capability, properly engineered, and fit for the business functions it serves.
• On the enablement side, this leader ensures AI capabilities from our major providers are not just procured but actively activated, governed, and embedded into how our platforms operate.

Senior Director, AI Platform Engineering – Enablement

Full-stack Engineer

• Serve as the primary technical interface between the Design Studio and Functional Engineering teams
• Advocate for studio’s aesthetic intent within the engineering community
• Translate complex engineering criteria into actionable feedback for designers
• Protect the integrity of the design theme while ensuring every component meets rigorous engineering requirements
• Manage product release CAD and BOM structures
• Facilitate supplier data integration
• Develop CAD studies to support and drive design improvements
• Understand and effectively utilize product check-in/check-out processes, version control, data release, and change management
• Perform feasibility analyses using CAD tools and clearance checks to support manufacturing and machining requirements

Product Development Engineer – Studio Liaison, Interior Cockpit & Trim

Systems Engineer

• Lead the development and integration of Functional Safety work products on vehicle program applications for Advanced Driver Assistance Systems (ADAS) features like BlueCruise and Pro-Trailer Hitch Assist
• Develop and maintain Hazard Analysis and Risk Assessments (HARA), Functional Safety Concepts (FSC), and Technical Safety Concepts (TSC).
• Produce safety analysis (DFMEA, FTA, DFA, per ISO 26262)
• Support the planning of Safety Verification & Validation activities at different levels of system abstraction
• Support the creation of test cases (DVP), their execution and evaluation of the results
• Contribute to the safety audits and assessments
• Collaborate cross-functionally with systems, hardware, software, and V&V stakeholders to deliver a safe product with a comprehensive safety case

PD Systems Functional Safety Engineer

Technical Program Manager

• Define and maintain the delivery roadmap for BlueCruise and Situational Awareness features from concept through post-launch releases and field monitoring.
• Align roadmaps to critical Platform & Program deliverables, Supplier software integration and validation timelines, and internal development gates.
• Drive solutions to cross-functional, cross-domain risks and dependencies within Ford and with supplier partners.
• Proactively identify integration risks, negotiate trade-offs, and escalate blockers with clear technical context and recommended paths forward.
• Present technical development status, risks, and recommendations to senior ADAS, Platform, and Program leadership.
• Own delivery and health metrics and drive corrective actions with data-backed rationale.
• Serve as the technical integrator across the BlueCruise stack.
• Partner with Systems Engineering teams to ensure requirements traceability, architecture alignment, and interfaces are mature and delivered on-time with quality.
• Drive V&V strategy across HIL, breadboards, and benches to support with key roadmap delivery.
• Coordinate with Software Engineering and Supplier partners to manage release strategy and content.
• Act as the single point for BlueCruise and Situational Awareness delivery status, risks, and roadmap decisions.
• Translate complex technical trade-offs into clear, actionable insights for engineering leads, platform/program leaders, and cross-functional partners.
• Foster a culture of safety, retrospective driven action, and continuous improvement across the delivery ecosystem.

ADAS Technical Program Manager

AI Engineer

• Transform the Integrated Services Product Team Operating Model: Identify, redesign, and scale AI-enabled workflows across discovery, customer research, Product Requirement Document (PRD) roadmaps, prioritization, launch readiness, executive reviews, analytics, PMO, go-to-market, and post-launch learning.
• Build AI Agents, Automation and Infrastructure: Create, configure, test, and maintain AI agents, tools, workflows, and integrations using APIs, retrieval, orchestration, agent instructions, approved AI platforms, enterprise systems, and related technical patterns.
• Prototype, Pilot and Scale: Rapidly prototype with real users, validate workflow fit, identify failure modes, and move successful solutions from idea to prototype to pilot to scaled adoption, working through technical, operational, security, privacy, and change-management barriers.
• Create Reusable Capabilities and Playbooks: Build repeatable agents, templates, standards, workflows, and best practices for common product, PMO and GTM work, including customer insight synthesis and journey mapping, requirement generation, PRD review, competitive analysis, roadmap tradeoffs, launch planning and execution, risk reviews, business case development, and executive communication.
• Measure Impact: Define and track outcomes tied directly to business and customer value creation, including adoption, time saved, cycle-time reduction, decision speed, employee experience, quality improvements, rework reduction, revenue generation and business or customer outcomes from AI enabled workflows.
• Drive Adoption and Behavior Change: Train teams, coach leaders, create champions, document best practices, and make AI-enabled workflows easy, safe and useful enough to become the default way of working.
• Establish Quality, Governance and Trust: Partner with security, legal, privacy, IT, PMO, go-to-market and engineering to ensure workflows are secure, compliant, auditable, explainable, and appropriate for enterprise use.
• Design Human-In-The-Loop Systems: Define where AI should act independently, where humans must review or approve, and how teams should manage risk, quality and accountability in AI-enabled workflows.
• Increase Leverage: Identify and automate repetitive, manual, duplicative, or low-value work so teams can spend more time on customer insight, product judgment, and execution.
• Evaluate Emerging AI Patterns: Stay current on AI agent frameworks, tooling, security models, governance practices, workflow automation approaches, and enterprise patterns, then translate the most practical opportunities into Ford use cases.

Director, AI Transformation Architect

Data Analyst

• End-to-End Development: Design and build complex reports and dashboards using Power BI or Qlik Sense, ensuring they are performant, accurate, and meet stakeholder requirements.
• Data Manipulation: Proficiently use SQL preferably Big Query for data analysis, cleaning, and optimization.
• Modeling & Visualization: Create visual models (process flows, data flow diagrams) to explain complex concepts and define/calculate key business metrics accurately.
• Cloud Operations: Use Terraform to provision and manage GCP resources, configure cloud data resources for cost-effective operation and implement data transformation pipelines using DataForm or Apache Airflow.
• Requirements Gathering: Lead effective meetings, workshops, and requirements-gathering sessions to understand business needs.
• Analytic Quality: Implement robust data validation and error handling in scripts and pipelines. Consistently deliver high-quality insights and comprehensive data validation.
• Peer Review: Contribute to analytical work reviews (reviewing queries and dashboard designs) and provide constructive feedback to team members.
• Documentation: Produce clear documentation for analytical processes, data sources, and key definitions. Create technical design documents for analytical solutions and data models.
• Process Optimization: Propose improvements to existing reports and processes with AI or other emerging technologies.
• Scalability: Design analytical solutions with scalability in mind to handle growing data volumes.

Data Analyst – AI

Data Scientist

• End-to-End Model Development: Design, execute, and deploy impactful DS projects. This includes performing Exploratory Data Analysis (EDA), feature engineering, and implementing advanced modeling techniques tailored to unique data characteristics (e.g., XGBoost, TensorFlow, or PyTorch).
• Engineering & Reproducibility: Consistently deliver high-quality, reproducible code. You will implement robust error handling, conduct comprehensive model validation, and establish patterns/standards for code clarity and maintainability within a Git-based workflow.
• MLOps & Deployment: Deploy models using established CI/CD pipelines and tools (e.g., MLflow, Kubeflow). You will be responsible for designing scalable deployment strategies, configuring model monitoring, alerting, and troubleshooting prediction service issues.
• Cloud Operations: Implement data processing pipelines in the cloud (e.g., Spark, Dataflow) and manage ML services effectively. You will optimize cloud resources for cost-efficiency, security, and reliability.
• Experimentation & Observability: Design and execute experiments (A/B tests) and create dashboards to monitor model health, feature drift, prediction distributions, and performance SLOs (Service Level Objectives).
• Collaboration & Influence: Translate business needs into technical tasks and build consensus on analytical approaches. You will mentor junior team members through constructive code/methodology reviews and communicate findings effectively to varied audiences.
• Documentation: Produce clear technical design documents and architectural roadmaps for data sources, transformations, assumptions, and experiments to ensure long-term scalability and maintainability.

Data Scientist – AI

Coach

• Supervise, evaluate, and empower an hourly team that produces stamping dies, and organize workflow to meet quality and daily productivity requirements.
• Ensure safety, quality, and productivity objectives are met through coaching standardized work.
• Drive to exceed personal, team, Company goals by holding self & team to high-performance standards through servant leadership.
• Build strong interpersonal relationships with hourly team members, union, and management teams.

Process Coach – Tool & Die

Technician

• Configure, calibrate, and operate a chassis dynamometer test cell and associated automation software for road load simulation for range, thermal, and performance testing.
• Install, align, and operate hub-coupled dynamometer systems, including hub adapter installation, system alignment, and torque/speed measurement.
• Program and monitor environmental profiles (from extreme cold to extreme heat) inside the climatic chamber, ensuring proper vehicle soaking and thermal stabilization.
• Coordinate daily lab workflow, vehicle preparation, and test execution to optimize facility utilization and meet critical program milestones.
• Perform preventative maintenance, troubleshooting, and calibration on chassis dynos, hub dynos, climatic chamber systems, and data acquisition hardware.
• Provide technical guidance, training, and mentorship to junior technicians on dynamometer operations, instrumentation techniques, and safety standards.
• Safely connect, operate, and monitor high-voltage AC and DC fast-charging infrastructure, coordinating with power analyzers during vehicle tests.
• Precisely instrument test vehicles and subsystems with thermocouples, torque transducers, strain gauges, pressure transducers, and CAN/LIN data acquisition modules.
• Lead laboratory safety protocols, serving as the primary advocate for High Voltage (HV) safety boundaries, Lockout/Tagout (LOTO) procedures, and climatic chamber safety compliance.
• Collaborate closely with test engineers to review test logs, identify data anomalies, and document standard operating procedures (SOPs).

Lead Dyno Technician

Operations

• Analyze Ford's exposure to labor-related supplier risk by monitoring union activity, collective bargaining agreements, supplier health, and industry labor trends.
• Develop labor risk assessments and prioritize suppliers based on business impact and disruption potential.
• Assess supplier business continuity and labor contingency plans to strengthen supply chain resiliency.
• Lead cross-functional coordination during labor disruptions, providing risk assessments, executive updates, and mitigation recommendations.
• Engage with supplier leadership to monitor labor negotiations and validate readiness activities.
• Support development of digital tools and analytics that improve labor risk visibility and predictive capabilities.
• Drive continuous improvement of labor resiliency processes and reporting.

Labor Specialist, Supply Operations

Engineer

• Create and manage Manufacturing Bill of Materials (MBOM) from Engineering BOM (EBOM)
• Develop Bill of Process (BOP) and structure manufacturing sequences
• Build process trees, define operations, and assign workstations
• Generate and maintain electronic work instructions for shop-floor use
• Map tools, fixtures, and resources to manufacturing operations
• Perform line balancing and cycle time analysis to improve throughput
• Conduct time and motion studies to identify value-added vs non-value-added activities
• Optimise plant layout and workflow using digital tools
• Support plant-specific configuration of manufacturing processes
• Update MBOM, process flows, and documentation based on engineering changes
• Work closely with Product Development, IT teams, and plant operations
• Support system testing (UAT) and digital tool enhancements
• Maintain manufacturing data in enterprise systems
• Define technical requirements for tooling, fixtures, and equipment
• Support supplier interactions, technical reviews, and equipment buy-off
• Use virtual manufacturing tools for layout validation and ergonomics
• Support shop-floor installation, commissioning, and production ramp-up
• Ensure compliance with safety and ergonomic standards

Manufacturing Engineer – Powertrain, Digital Process Planning

• Development and integration of IT solutions using agile methodology considering architecture patterns, critical performance characteristics, security measures and customer requirements.
• Integration planning and integration deliverables (Webservices, API, ETLs, etc.)
• Prepare and stage production builds and verify production releases that meet technical and business expectations
• Lead data migration/conversion activities
• Data Pipeline Development: Design, develop, and optimize scalable batch and stream data processing pipelines (Dataflows) using Apache Beam and Google Cloud Dataflow.
• GCP Infrastructure: Architect, configure, and maintain cloud solutions utilizing core GCP services (including Pub/Sub, Big Query, Cloud Storage, and Cloud IAM).
• Backend API Development: Design, build, and maintain secure, high-performance RESTful APIs and microservices using Java and the Spring Boot framework.
• Frontend Screen Development: Create responsive, user-friendly frontend screens and dashboards using Angular (TypeScript, HTML5, CSS) to visualize data and provide administrative interfaces.
• Full-Stack Integration: Seamlessly integrate frontend Angular components with backend Spring Boot REST APIs to ensure secure and efficient end-to-end functionality.
• Database Management: Design schemas, write optimized SQL queries, and manage relational database systems (e.g., PostgreSQL, MySQL, Cloud SQL).
• Collaboration & DevOps: Participate in Agile/Scrum ceremonies, perform code reviews, and configure CI/CD pipelines to support automated testing and deployment.
• Builds pipelines delivering fresh, accurate, and correctly formatted data to AI agents and models.
• Manages vector store ingestion pipelines — the knowledge bases grounding agent decisions in real data
• Architects real-time streaming pipelines for agents requiring live information.
• Providing technical leadership and mentoring to other developers.