Jobs at Ford Motor Company

Designs and develops resilient, event-driven platform solutions, microservices, and API integrations across enterprise systems. Partners with stakeholders to deliver technology solutions, prototypes, AI-powered agents, RAG architectures, and workflow automation. Builds cloud-native solutions on Google Cloud Platform and champions DevSecOps, CI/CD, automated testing, observability, monitoring, and continuous improvement.

Identifies manufacturing sites for service parts using engineering, purchasing, ERP, CAD, and manufacturing systems. Coordinates with suppliers, engineers, buyers, product analysts, SVAT analysts, and kitting teams to resolve sourcing issues, activate manufacturing sites, and support service-part procurement. Prioritizes urgent vehicle-down and new-model requests, corrects sourcing errors, and responds to internal sourcing requests within two business days.

Manage global supply constraints by analyzing demand and supply, developing allocation and interim support plans, coordinating purchasing and suppliers, and leading global constraints forums. Partner with sales, scheduling, operations planning, and cross-functional teams to manage demand, production availability, part delivery, premium freight, and executive reporting. Drive decisions and allocations across regions while supporting production requirements.

Manage weekly supplier shipment plans in ASCENT, triage inventory shortfall cases through PEGA, and coordinate corrective actions with Purchasing, Supplier Technical Assistance, and MP&L teams. Analyze supplier responses and decommits, identify production risks and shortfalls, support programming and ISO audits, improve ASCENT metrics, create management reports, drive process improvements, and train team members.

Leads a multidisciplinary team delivering advanced analytics, AI, and machine learning solutions across Ford. Provides hands-on technical leadership from concept through deployment, improves data quality and integration, partners with business stakeholders, mentors technical professionals, and develops technology adoption roadmaps. The role applies statistical analysis, optimization, simulation, machine learning, and AI to improve vehicle launch timing, quality, cost, manufacturing, supply chain, and enterprise decision-making.

Lead API automation strategy and development for a Spring Boot microservices platform on GCP. Build scalable RestAssured and BDD frameworks, integrate automated testing into CI/CD, validate API functionality, performance, security, and data quality, and establish QA standards. Collaborate with engineering and product stakeholders, review code and architecture, communicate quality metrics, troubleshoot operational issues, and promote quality ownership across teams.

Leads the strategy, architecture, development, and operations of Ford’s AI security platform. Manages AI security engineers while contributing to system design, coding, automation, and technical decisions. Builds full-stack, cloud-native security services, APIs, dashboards, DevSecOps controls, observability, and AI threat protections. Owns roadmaps, security architecture, risk automation, compliance validation, and secure AI deployment across Azure, GCP, and AWS. Partners with AI, platform, and cybersecurity teams to deliver scalable security capabilities and develop a high-performing engineering organization.

Performs application, infrastructure, and emerging-technology threat modeling and security assessments. Analyzes architectures, vulnerabilities, risks, and security controls using STRIDE, VAST, and Attack Tree methodologies. Recommends remediation, applies OWASP, NIST, CIS, and organizational standards, supports governance and issue closure, improves threat-modeling processes, and promotes security awareness. The role requires expertise in web, cloud, API, microservices, identity, network, and data security, plus strong analytical and communication skills.

Develop and maintain Pricefx back-end applications, APIs, microservices, databases, and integrations. Engage customers, translate business requirements into solutions, write and test code, support cloud and on-premises deployments, optimize reliability and performance, and apply security, CI/CD, and TDD practices. Lead testing, deployments, troubleshooting, and complex issue resolution. Collaborate with product, design, architecture, and front-end teams while following engineering standards.

Leads software engineering teams building COSMOS, a cloud-native global inventory platform on Java and GCP. Oversees product delivery, architecture, modernization from legacy mainframes, enterprise integrations, engineering practices, production support, and people development. Partners with business, architecture, cloud, cybersecurity, data, and DevOps teams to deliver scalable microservices integrated with SAP platforms. Drives Agile delivery, DevSecOps, technical decision-making, operational excellence, and adoption of modern engineering practices.

Execute global SOX control testing and data-driven Smart Reviews using analytics, automation, and AI tools. Analyze exceptions, assess control design, identify root causes, maintain risk control matrices, communicate findings to senior stakeholders, support remediation, and mentor junior team members. Collaborate with globally distributed process owners and internal controls teams while contributing to automation, reporting, and special projects.

Designs, implements, and manages non-relational databases on Google Cloud, including MongoDB, Firestore, Bigtable, Memorystore, and Neo4j. Responsibilities include Terraform-based infrastructure, CI/CD, observability with Dynatrace, performance optimization, migrations, high availability and disaster recovery, security, cost optimization, and developer enablement. The role also establishes SRE practices, database monitoring, IAM and OAuth2 controls, AI agent-to-data tracing, and production support.

Design, develop, evaluate, and deploy NLP, LLM, generative AI, multimodal, and agentic applications. Responsibilities include fine-tuning models, conducting experiments, building scalable data and ML pipelines, developing APIs and user interfaces, and deploying applications with Docker, Kubernetes, and cloud infrastructure. The role also involves conversational agents, image-generation tools, performance monitoring, and production-ready AI products for automotive use cases.

Supports SAP ERP system and business cutover planning, deployment preparation, data validation, defect management, milestone tracking, status reporting, and cross-team coordination. Works with system integrators, SAP functional and technical experts, legacy teams, and business stakeholders to execute builds, loads, refreshes, validations, and implementation activities. Maintains project plans, Gantt charts, cutover tasks, issue tracking, and communication throughout the upgrade or implementation lifecycle.

Own the internal go-to-market and adoption strategy for Ford’s enterprise data platform suite. Responsibilities include positioning products, conducting discovery and pre-sales consultations, creating demos and enablement assets, executing internal marketing campaigns, tracking adoption funnels, prioritizing target domains, gathering customer feedback, and reporting progress to leadership. The role partners with product, engineering, governance, data quality, and platform teams to expand trusted platform usage.

Leads incident management, service monitoring, operational analytics, and quality improvement for connected vehicle services across international markets. Investigates outages and degradations across applications, cloud platforms, APIs, telematics, and vehicle communication systems; coordinates resolution with engineering teams and external partners; tracks root causes and corrective actions; monitors KPIs; produces performance reports; reviews customer feedback; and supports operational readiness for new features.

Build scalable Python backend services, APIs, cloud-native applications, and AI-powered solutions. Develop LLM, RAG, agentic, and multi-agent systems; deploy workloads with Docker and Kubernetes; maintain CI/CD pipelines; and operate applications across major cloud platforms. Collaborate cross-functionally to deliver secure, tested, observable, and production-ready software while optimizing performance, scalability, latency, and cost.

Manages weekly supplier shipment plans in ASCENT, triages inventory shortfall cases through PEGA, and coordinates corrective actions with Ford purchasing, technical assistance, and logistics teams. The role analyzes supplier commitments, identifies production risks and shortfalls, supports programming and ISO audits, develops management reports, improves ASCENT metrics, and drives continuous process improvement.

Develops and improves manufacturing and business processes within Siemens Teamcenter Easy Plan. Responsibilities include requirements analysis, process workflow design, tool configuration, system issue resolution, testing and validation, stakeholder collaboration, program implementation support, and comprehensive documentation. The role partners with IT, Siemens support, manufacturing engineering, and industrial engineering teams to deliver standardized, scalable process solutions for vehicle and manufacturing programs.

Designs, develops, and supports Oracle HCM integrations using Oracle Integration Cloud, REST/SOAP APIs, Atom Feeds, databases, ETL processes, and Unix/Linux scripting. The role builds real-time and batch integration flows, manages data validation and reconciliation, troubleshoots integration failures, monitors deployments, and collaborates with HR stakeholders and technical teams to deliver scalable integration solutions.