Ford Motor Company

Data Scientist

• Develop and deploy Natural Language Processing (NLP) models to extract insights from unstructured textual data.
• Collaborate with cross-functional teams to identify opportunities and develop strategies for applying NLP techniques to enhance quality analytics.
• Design and implement data pre-processing and feature engineering techniques for NLP tasks.
• Utilize supervised and unsupervised machine learning techniques to solve complex NLP problems.
• Evaluate and fine-tune models for performance optimization, accuracy, and efficiency.
• Contribute maintainable code to existing and new pipelines.
• Stay up-to-date with the latest advancements in NLP and contribute to the continuous improvement of methodologies and algorithms.
• Communicate findings, insights, and recommendations to stakeholders in a clear and concise manner.

• Methodology Execution: Partner with the System Integrator to manage the SAP Activate methodology phases (Prepare, Explore, Realize, Deploy, Run).
• Roadmap Ownership: Own the project roadmap from a business-readiness perspective, holding SAP, the SI, and peripheral system teams accountable to milestones.
• Clean Core Advocacy: Ensure that any necessary extensions are built "side-by-side" on SAP BTP rather than through legacy modifications, preserving our ability to receive bi-annual SAP updates automatically.
• Project Management: Define and refine project scope, develop roadmaps, maintain project plans, and provide regular governance report-outs to leadership.
• Process Alignment: Facilitate system design with business users and the SI to align company processes with SAP Best Practices. Act as the "guardian of the standard," challenging requests for customizations that could hinder future cloud upgrades.
• Integration Management: Coordinate with owners of peripheral systems to design, validate, and deliver end-to-end data flows.
• Platform Connectivity: Oversee the use of the SAP Integration Suite to ensure seamless connectivity and process integrity across the Ford Energy tech stack.
• Technical Translation: Translate complex technical requirements from the SI into clear business impacts for executives, and vice-versa.
• Technical Coordination: Coordinate with SI functional teams and technical services (Release Management, Security, and SAP Cloud Basis) for transport management, cutover, upgrades, notes implementation, and build delivery.
• Testing & Validation: Lead the strategy for User Acceptance Testing (UAT) and Dry Run (DR) phases. Ensure business users validate that new processes work seamlessly in a real-world production context.

SAP Implementation and Integration Lead

Security Engineer

• Lead the design, development, and deployment of advanced AI/ML solutions focused on cybersecurity, network analytics, and enterprise risk detection.
• Build and operationalize machine learning models, including anomaly detection, predictive analytics, and classification systems for security and network use cases.
• Drive the implementation of Generative AI and Agentic AI solutions to enhance automation, threat intelligence, and decision-making workflows.
• Collaborate with cybersecurity, network engineering, and IAM teams to identify opportunities for AI-driven optimization and risk mitigation.
• Architect end-to-end ML pipelines, ensuring scalability, reliability, and integration with enterprise systems.
• Work hands-on with data—ingestion, preprocessing, feature engineering, and model tuning—to deliver production-grade solutions.
• Translate complex technical outcomes into business insights using dashboards and visualizations (e.g., Power BI) for stakeholders and leadership.

Principal AI/ML Engineer – Cybersecurity, AIOps

Full-stack Engineer

• Architectural Leadership: Design and oversee the implementation of highly scalable, distributed backend systems and microservices using Java, Kotlin, and Python.
• Data Strategy: Define the data architecture and modeling standards for both relational (SQL) and non-relational systems, ensuring data integrity, security, and high availability.
• Streaming & Batch Processing: Lead the design of real-time data pipelines (e.g., using Dataflow, Pub/Sub, or Kafka) and batch processing frameworks to handle petabyte-scale data efficiently.
• AI Integration: Drive the "AI-first" engineering culture by integrating LLMs, machine learning models, and RAG (Retrieval-Augmented Generation) patterns into production workflows using GCP Vertex AI.
• Cloud Excellence: Optimize GCP infrastructure for performance and cost, leveraging GKE, BigQuery, and Cloud Spanner to support global-scale operations.
• API & Ecosystem Design: Set the standard for API development (REST, GraphQL, gRPC), ensuring seamless integration across internal services and external partners.
• Technical Governance: Conduct architecture reviews, define CI/CD best practices, and ensure the team maintains a high bar for code quality, testing, and observability.
• Mentorship: Act as a force multiplier by mentoring Senior Engineers, fostering a culture of continuous learning and technical excellence.

Staff Engineer, Ford Pro Intelligence

Systems Engineer

• The Ford Performance Electrical Team is seeking an independent, empowered, and passionate Electrical Systems Integration Engineer.
• In this role, you will be the technical glue that holds our vehicle programs together, leading the pre-design, design, and launch phases of current and future Ford Performance programs.
• You will ensure that the "Ford Racing DNA" is woven into every electrical circuit and system we build.
• Drive Design & Development: Lead the design of Ford Performance-specific electrical content, coordinating technical reviews between component and EDS (Electrical Distribution System) engineers to ensure total system integrity.
• Bridge the Gap: Survey engineers for electrical interfaces and ensure device transmittals are accurately populated in VSEM to support EDS wiring development.
• Validate Excellence: Build Design Verification (DV) requirements for system-level functions and perform rigorous validation testing to ensure product compliance.
• Own the Launch: Support vehicle builds onsite at assembly plants, represent the electrical team on evaluation drives, and manage BOM sign-offs for pre-production events.
• Solve Complex Problems: Root cause and resolve electrical issues as they arise, utilizing breadboards, CAN tools, and data logging to troubleshoot modules and systems.
• Lead Partners: Manage Full Service Suppliers (FSS) and internal/external resources to deliver programs on time and to performance targets.
• Navigate Tools: Utilize Ford’s engineering suite (FEDE, WERS, AIMS, JIRA, 5/8Ds, QUIP, eCATs) to manage deliverables throughout the GPDS lifecycle.

Electrical Systems Engineer

Human Resources

• The Specialist, HR Shared Service, acts as a trusted People First representative to local colleagues and employees.
• Support the resolution of complex, detailed, and highly visible HR-related inquiries, transactions, escalations, and projects.
• Model customer service excellence and proactively develop solutions that enhance employee experiences.
• Develop a deep understanding of assigned customer group(s) and build collaborative relationships to serve as a trusted point of contact.
• Intake, strategically prioritize, and apply policy/process expertise to resolve HR policy/process inquiries.

HR Shared Service Partner

Engineering Manager

• Create, lead, and manage the Powertrain Manufacturing Engineering teams to plan, engineer and launch manufacturing processes for Powertrains
• Work with Product Engineering, Purchasing and Suppliers to specify DFM and deliver manufacturing feasibility and simultaneous engineering of new products through study, build, implement and launch phases to meet engineered rate.
• Lead the Process engineering technical requirements for programs (cycle times, FMEA, implement BoP, OEM ESWP, program OEM, requisitions for PO, etc.)
• Work with Mfg Strategy and Planning to ensure manufacturing systems meet investment and timing requirements.
• Support the Ford Operating Systems for successful launch and long term operations.
• Utilize institutional knowledge to implement standardization & continuous improvement (Kaizen)

Process Assembly Engineering Manager – Powertrain

Administration

• Process system framework maintenance to ensure market portfolio updates and support amendments of existing loyalty programs like Ford extended warranty, maintenance packages or Service Activated Roadside Assistance
• Support implementation of new product launches in the system
• Ensure adherence to Audit processes by providing evidence on system entry actions
• Alignment with other Ford areas (e.g. market coordinators, IT, Finance) on Ford Protect plan system set up regarding timing, approvals and validity dates
• Support central and local Project Management
• Process Loyalty document tracking to ensure short term and long term planning of Plan Maintenance and implementations
• Ensure monthly Roadside Assistance Reporting based on information provided by Service Provider and quarterly Fleet reporting
• Work on market specific requests and questions regarding issues during registration process of loyalty products
• Support the Supervisor Ford Protect Programs regarding special requests

ESB Product Administrator

Software Engineer

• Team Leadership & Mentorship: Lead, coach, and develop a team of financial analysts. Foster a growth mindset, encourage autonomous problem-solving, and build a high-performing culture.
• Strategic Business Partnering: Work closely and proactively with Chief Engineers and Vehicle Line Directors to prevent budget overruns and align operational engineering goals with corporate financial targets.
• Vehicle Program Financials (Gateways): Lead the financial planning for future vehicle programs. Prepare executive financial summaries, track target vs. actual costs, assess resource requirements, and ensure accurate integration into our enterprise portfolio management systems.
• Alliances & Partnerships: Financially steer and monitor major external partnerships (e.g., VW Alliance for Connected Vehicle Services). Manage feature costing, change requests, cost-sharing thresholds, and alignment with joint governance boards.
• Billing & Revenue Oversight: Oversee internal and external billing processes. Prepare pricing agreements for Joint Venture partners and coordinate legal entity billings and revenue recognition.
• Accounting Entry Supervision: Oversee and review the work of analysts with accounting entry responsibilities. Ensure the accuracy of journal entries, compliance with corporate accounting standards, and the timely completion of month-end closing activities.
• Process Optimization & Digitalization: Drive the digital transformation of the finance team by transitioning from manual Excel processes to a modern finance toolkit (Power BI, Alteryx, SAP S/4 HANA, and AI/LLM assistants) to massively increase efficiency and eliminate waste.

Cycle Plan Engineering Supervisor

Platform Engineer

• Own and manage platform engineering activities for the organization’s Data Loss Prevention (DLP) and data governance platforms, ensuring business requirements are translated into scalable, secure, and effective technical solutions.
• Design, implement, and optimize data protection, compliance, and governance capabilities using platforms such as Microsoft Purview, Microsoft Defender for Cloud Apps, and related Azure security services.
• Develop and maintain Infrastructure as Code (IaC) solutions for cloud infrastructure, platform services, and security controls using tools such as Terraform or equivalent frameworks.
• Partner with application, platform, and cybersecurity teams to implement secure-by-design patterns for identity, secrets management, logging, monitoring, vulnerability management, and policy enforcement
• Identify opportunities to automate manual processes and streamline engineering operations using APIs, scripting, cloud-native tooling, and workflow automation
• Engineer reusable automation, self-service capabilities, and operational workflows that improve platform reliability, speed, and developer experience.
• Design processes to evaluate, test, and deploy platform enhancements, updates, and new capabilities across the data security ecosystem.
• Identify opportunities to automate manual processes and improve operational efficiency using APIs, scripting, Azure Logic Apps, playbooks, and other modern automation frameworks.
• Develop reusable tools, workflows, and integrations to improve the user and administrator experience across security platforms.
• Support backlog development and prioritization for DLP, compliance, and data governance initiatives while working within agile delivery models.
• Monitor platform health, security events, and service effectiveness through logging, alerting, and reporting capabilities.
• Support disaster recovery and business continuity planning as it relates to data protection, platform resilience, and compliance operations.

Senior Data Security Platform Engineer

• Drive the design and implementation of core AI capabilities within our Intelligent Data Analytics Platform (Lightspeed)
• Write production-grade code, solving the hardest problems, and setting engineering standards through example
• Contribute to the design of scalable, multi-agent AI architectures for data discovery and query generation
• Build performant backend services (Python/FastAPI) and interactive frontends (Angular/React) for data exploration
• Implement LLM-powered workflows including NL-to-SQL generation, semantic search, and metadata enrichment
• Actively participate in code reviews and set quality standards through your own contributions
• Partner with Product, Data Engineering, and Platform teams on feature delivery
• Help onboard new team members and share domain expertise

Platform Software Engineer

Architect

• Create high-level software architecture designs for IMG Ford Pro external web presence.
• Drive architectural initiatives and provide technical guidance to development teams.
• Collaborate with management, IT Product Managers, UX/UI designers, and software engineers.
• Ensure adherence to coding standards and compliance requirements.
• Define protocols and APIs for seamless communication between website front-end and backend systems.
• Assess feature requirements for suitable technology stack and deployment strategy.
• Develop Architecture Requirements Documents and maintain system context flows and integration/interface diagrams.
• Identify and manage technical debt across the website portfolio.

IT Pro Website Architect

• Partner with business leaders to identify high-impact AI opportunities and translate them into scalable AI/ML solutions.
• Define and communicate AI product vision, roadmaps, and measurable success metrics.
• Drive AI strategy across predictive analytics, Generative AI, and intelligent automation initiatives.
• Establish governance frameworks for Responsible AI, model explainability, fairness, and compliance.
• Lead cross-functional AI programs and influence executive stakeholders through compelling insights and presentations.
• Own end-to-end AI product delivery in partnership with Product, Engineering, and Data teams.
• Ensure production-grade deployment of AI models using containerization (Docker), orchestration, and scalable cloud infrastructure.
• Establish monitoring frameworks for model drift, performance degradation, and system reliability.

AI Engineering Manager

Engineer

• Participate in managing production suppliers across the region.
• Evaluate supplier production capacity, material quality, delivery reliability, and financial stability.
• Consistent tracking of part quality, on-time delivery, and material costs, including on-site audits at supplier facilities.
• Support suppliers in improving processes and capabilities through knowledge sharing and investment in new technologies.
• Collaborate with cross-functional teams to achieve common objectives (cost, timing, quality).
• Conduct data analysis to inform business decisions and track price changes.

STA Engineer

Procurement

• Manage and process purchase orders, negotiate cost reductions, and evaluate suppliers based on price, quality, and service.
• Collaborate with cross-functional teams to resolve supply chain issues, ensure timely delivery, and communicate issues related to parts availability, packaging, inventory levels, and logistics.
• Lead capacity studies to ensure supplier capacity meets program demands and coordinate with capacity planning teams to maximize profit margins and consumer demand.
• Provide ad-hoc special reports for Purchasing customers, e.g. to assist with Commodity Business Plan development.
• Support the development of supply base strategies, commodity plans, and sourcing agreements while managing relationships with suppliers.
• Creating training materials, ongoing maintenance, and driving continuous improvement initiatives.
• Participate in cross-functional teams to ensure on-time execution of sourcing processes for new programs and support program launches, including resolving supply issues and developing containment actions.
• Utilize tools like Supply Risk Management (SRM) to proactively avoid disruptions and ensure compliance with Purchasing Procedures.