• Own and evolve the core platform repository • Build and maintain cross-client isolation across customer configuration • Own the end-to-end conversation logging system • Own the eval suite end-to-end • Build and maintain onboarding automation scripts that deploy a new customer in under 30 minutes • Ensure all platform APIs meet latency targets

• Manage and enhance a live Azure-based production environment • Lead the migration from Ansible to Terraform • Support the shift to an event-driven architecture using Azure Service Bus • Help evaluate and integrate a third-party AI solution • Troubleshoot issues and optimise performance and reliability • Collaborate with engineers to deliver iterative platform improvements

• Design and build organizational data infrastructure/architecture • Partner with business leaders and domain owners to translate strategic priorities into data architecture capabilities • Provide insights into the changing database/datalake storage and utilization requirements for the company and offer suggestions for solutions • Establish standards for data platforms, integrations, analytics, and AI enablement • Analyze database/datalake implementation methods to make sure they are in line with company policies and any external regulations that may apply • Assist with organizational decisions on data infrastructure and architecture on an ongoing basis and make decisions on data strategy • Act as a trusted advisor on how data architecture enables revenue, efficiency and risk reduction, and advise leadership on data investment decisions • Oversee the migration of data from legacy systems to new solutions • Apply architectural principles, product-specific guidelines, security standards, usability design standards, as appropriate • Influence decision-making across multiple stakeholders and guide engineering teams in resolving complex technical challenges • Drive expansion of analytics and AI services by embedding scalable design patterns into every engagement • Contribute thought leadership, reusable assets, and frameworks to scale across the Data & AI practice

• Develop and maintain user interface (visual presentation of user journeys) in accordance with the Ford Standards and Ford Design Team provided specifications. • Research, engineer, develop, and support the front-end web experience for the platform. • Build and maintain solutions that comply with Ford Information Security policy, architectural patterns and development standards. • Work with the Product Owner and Designers to ensure solutions meet Ford consumer needs. • Use modern software development Agile methodologies to deliver high-quality software on time and on budget. • Use modern software delivery pipelines to automate the deployment and testing of software and platform features. • Create and maintain automation tests. • Contribute to the development and implementation of customer identity and access management strategies and roadmap. • Create and maintain technical documentation for team and integrating applications (e.g., architecture diagrams, API documentation, coding standards, operational processes, procedures, configurations, application onboarding tips, etc.). • Support general platform-related activities (e.g., assisting applications with onboarding and troubleshooting integration with the platform, day-to-day operations of requests, incidents, and problems). • Provide collaborative 24/7 support for the platform (e.g., outage support, application monitoring, other security activities).