Ford Motor Company

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

Full-stack 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

Engineering Manager

• 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.

Purchasing Analyst

Designer

• Brand Translation: Develop and refine compelling design concepts for vehicle badging and branding elements, ensuring alignment with the overarching corporate brand identity that provide visual interest to our customers.
• Collaboration: Work closely with our engineering, shops (for prototyping) and studio design teams to ensure a unified visual language across all vehicle designs.
• Prototyping: Create detailed sketches, 3D models and prototypes of badging and branding elements that effectively communicate design intent and functionality.
• Trend Integration: Stay updated on industry trends and integrate relevant trends into design concepts to keep the brand innovative and forward-thinking.
• Technical Feasibility: Collaborate with engineering teams to ensure designs are feasible and can be effectively manufactured. Supporting engineering to create class A-surface.
• Feedback Incorporation: ability to receive feedback and iterate and evolve designs based on stakeholder input.
• Presentation: Be able to present your work to the Director of GBX. Collaborate and support - gbx team in preparing and delivering compelling presentations to communicate design concepts and progress to internal teams and external partners.
• Brand Consistency: Act as a protector of the brand identity, ensuring all designs maintain brand consistency and adhere to established guidelines.
• Documentation: Maintain and follow the detailed documentation of design files, design processes, decisions, and project milestones.
• Mentorship: Provide guidance and support to our team and partners, fostering a culture of creativity and excellence.

Senior Industrial Designer

• The candidate will work with internal and external customers to develop competitive cost & weight efficient closer latches, and closer latching system designs.
• Additionally, the candidate will be responsible for engineering the required CAD and lead analytical and physical analysis to deliver a system that will meet all prescribed requirements.
• The candidate will be responsible for establishing closer latching strategy, reducing latching complexity, developing and maintaining latch requirements and design rules, ensuring that the latching system works seamlessly with the entire vehicle mechanical and electrical architecture.
• The candidate will lead root cause and resolution of latching issues during vehicle development and in field.
• The candidate will also be responsibilities for latch product testing, latch deliverables during the development process.

Product Development Engineer – Core Latch Engineer

Human Resources

• Act as a trusted advisory partner to directors and business managers across South America.
• Facilitate Talent Review and Succession Planning processes.
• Lead, in partnership with Talent Acquisition, Onboarding and Offboarding strategies.
• Ensure all HR activities are fully compliant with organizational policies.
• Drive data-driven decision making.

Senior HR Business Partner

• Design, develop, and maintain scalable backend applications using **Python** and **Spring Boot**
• Build and deploy cloud-native solutions on **Google Cloud Platform (GCP)**
• Develop and maintain RESTful APIs and microservices with a focus on performance, security, and scalability
• Work with **GitHub** for version control and collaborative development
• Containerize applications using **Docker** and deploy them in **Kubernetes** environments
• Design event-driven and asynchronous solutions using **Pub/Sub**
• Build and deploy applications on **Cloud Run**
• Work with **BigQuery** for data querying, analytics, and integration
• Develop and support **AI/ML-enabled solutions**, including model integration and intelligent automation use cases
• Collaborate with architects, product owners, data engineers, and DevOps teams to deliver end-to-end solutions
• Troubleshoot production issues, optimize system performance, and support continuous improvement
• Follow best practices for code quality, testing, CI/CD, documentation, and secure development

Senior Software Engineer

SDET

• Design, develop, and maintain front-end focused automated test solutions.
• Implement UI, functional, and end-to-end automated tests for web applications.
• Validate user experience, UI behavior, and browser compatibility.
• Integrate front-end test automation into CI/CD pipelines.
• Perform cross-browser testing to ensure consistent web behavior.
• Actively contribute to quality activities within Agile delivery teams.
• Collaborate closely with front-end developers to understand UI architecture and changes.
• Ensure testing practices comply with corporate web testing standards and governance.
• Support release readiness activities from a front-end quality perspective.

Senior Software Engineer – SDET

Recruitment

• Manage the full lifecycle recruitment process for regional hub positions and key country-level roles, specializing in automotive, engineering, and tech profiles.
• Conduct research and analyze external market data (salary benchmarks, talent availability, competitor mapping) to advise hiring managers on hiring feasibility and talent location strategies.
• Build and maintain recruitment dashboards (using Power BI, Tableau, or advanced Excel) to track and report key metrics such as Time-to-Hire, Cost-per-Hire, Sourcing Funnel Conversion Rates, and Quality of Hire.
• Use recruitment data to influence and guide regional hiring managers on talent decisions, managing expectations regarding market realities and talent pipelines.
• Act as the first point of contact for assigned business units, aligning HR strategies with business goals and providing guidance on HR policies and employee relations.
• Analyze internal HR data (e.g., employee turnover, tenure, exit interview feedback, engagement survey results) to identify trends, predict attrition, and propose proactive retention strategies to department heads.
• Assist in facilitating annual performance management and talent review cycles for assigned business units, ensuring data accuracy and alignment with regional guidelines.
• Monitor new hire integration and gather feedback at critical milestones (e.g., Day 30, 90) to improve retention and onboarding programs.

HR Talent Acquisition Specialist

• Ensure all C&B policies and practices comply with local labor laws, tax regulations, and statutory requirements in each operating country
• Conduct job evaluations and grading for new or restructured roles across the region using standardized methodologies to maintain internal equity
• Assist in designing, reviewing, and implementing competitive salary structures, incentive plans, and benefits packages across assigned regional countries
• Lead and automate the execution of annual compensation processes, including the Annual Merit Review (salary increments) and performance-based bonus allocations, by developing dynamic, user-friendly templates for regional business leaders and local HR teams.
• Develop and maintain interactive HR/C&B dashboards (e.g., using Power BI, Tableau, or Excel Dashboard) to visualize key metrics, labor cost trends, and budget utilization for regional leadership.
• Participate in and analyze annual industry salary surveys and conduct automated benchmarking analyses to ensure competitive positioning.
• Design, build, and maintain complex, automated spreadsheet models and templates (using advanced Excel/Google Sheets features, Power Query, VBA/Macros, or Apps Script) to consolidate regional data, reduce manual data entry, and minimize human error across multiple countries.

HR Total Rewards Specialist

Technical Program Manager

• Strategically coordinate with critical stakeholders and senior leadership to develop holistic product development/maintenance plans, ensuring on-time, high-quality launches.
• Manage comprehensive plans for complex, high-impact technical projects, ensuring on-time and high-quality delivery (using skills such as data acquisition, data engineering, programming, modelling and visualization). Work closely with development teams to ensure products are built to specifications. Drive the adoption of software tools and manage end-to-end delivery, including CI/CD and production launches.
• Deep dive into complex technical issues to understand root causes, evaluate trade-offs, and propose strategic solutions. Anticipate technical hurdles and manage risks appropriately.
• Work with large, complex data sets using tools such as Python, SQL, Google Cloud Services, Hadoop
• Work with Data Scientist to develop and deliver analytic products on Generative AI (LLM models)
• Work with Data Scientist to develop and deliver analytic products using skills such as statistical analysis, machine learning, algorithm design, and interface development.
• Drive continuous improvement of the operational model by aligning work, capacity, and strategic objectives. Develop and track metrics to analyse product performance and user feedback to continuously drive product improvements.
• Lead and facilitate all product line agile ceremonies. Establish and champion organization-wide standards for Jira usage, advanced automation, backlog grooming, retro connects, and dependency management. Serve as the primary technical contact for project communications across cross-functional teams.
• Proactively identify, assess, and mitigate high-impact interdependencies and technical risks. Establish clear escalation paths for critical program and team blockers.
• Directly influence business scope and technical approaches through an in-depth understanding of both business outcomes and technical solutions. Define new organizational patterns for governance.
• Author and maintain robust project documentation (PRDs), including technical roadmaps, dependency maps, and change control audit trails, ensuring data integrity for accurate reporting and decision-making.
• Mentor and guide junior team members in effective collaboration and agile facilitation. Identify and champion opportunities to streamline workflows and reduce technical overhead.
• Serve as the primary contact for external project communications, explaining highly complex technical concepts to diverse audiences, from engineering teams to senior executives.

• Design / Develop security products with Self-Service portals (UI), security central websites using Angular JS, React JS, Backstage and backed APIs using Java or Python
• Develop CI-CD pipelines on Tekton and deploy to GCP cloud.
• Work with product managers, SMEs, anchors to create prototypes, perform PoCs
• Collaborate with Platform vendors to understand their APIs, integration patterns to automate deployments / manual tasks.
• Automate testing using Playwright, postman
• Work with various infrastructure and application support teams to provide technical direction and address security issues.
• Design, test, and implement security policies for critical Enterprise Infrastructure.
• Automate repeatable tasks and workflows to improve process efficiency by developing APIs/scripts and deploying to the cloud.
• Implement SRE for Platform services, capabilities/features to achieve availability and reliability.
• Secure in-house and public AI and ML/DL/LLM/Agents/MCP systems against cyber threats, adversarial attacks, and data breaches across the solution lifecycle.
• Design and implement robust security platforms supporting enterprise security needs (e.g., unified telemetry pipeline like BindPlane, SIEM like QRadar, SecOps, and AI security).
• Define and maintain guidelines and controls to secure AI systems, including data protection, model security, and compliance requirements.
• Apply established frameworks as references/baselines (e.g., Google Secure AI Framework (SAIF), NIST AI Risk Management Framework, Framework for AI Cybersecurity Practices (FAICP)).
• Identify, assess, and mitigate AI-specific security risks (adversarial attacks, data poisoning, model inversion, unauthorized access).
• Conduct vulnerability assessments and penetration testing on AI models and data pipelines.
• Ensure AI data is encrypted, anonymized, and securely stored.
• Implement access controls for sensitive AI data and models (RBAC, ABAC, Zero Trust).
• Protect AI models from tampering, theft, and adversarial manipulation during training and deployment.
• Monitor and log AI system activity for anomalies and security incidents.
• Develop and enforce policies to align AI systems with industry regulations, ethical standards, and organizational governance requirements.
• Develop automated workflows and scripts to enhance security platform functionality and scalability, improving operational efficiency.
• Manage timely patching and upgrades to security tools and systems to reduce downtime and minimize vulnerabilities.
• Configure alerting systems for security threats and enable real-time monitoring for observability.