• Design, develop, and maintain ESB integration solutions. • Develop and support APIs, web services, and enterprise integrations. • Build and maintain REST and SOAP services. • Integrate enterprise applications, databases, and third-party systems. • Troubleshoot and resolve integration-related issues. • Perform unit testing, system integration testing, and production support. • Collaborate with Business Analysts, Solution Architects, and Development teams to gather integration requirements. • Ensure integration solutions follow security, scalability, and performance best practices. • Prepare technical documentation and integration specifications. • Participate in code reviews and technical design sessions.

• Designing and building backend services that power the onboarding engine: sign-up, KYB/KYC flows, document collection, verification orchestration, and account activation. • Contributing to the frontend: building intuitive, responsive interfaces that reduce friction at a high-stakes moment for the customer — and that make a complex compliance process feel simple. • Owning integrations with external providers — identity verification, document validation, business data sources — abstracting their complexity behind clean, resilient internal APIs. • Collaborating cross-functionally with Product, Design, Risk, and Compliance to translate regulatory requirements and activation goals into great product experiences. • Applying AI tools to ship faster and improve how the team works. • Elevating the team through code reviews, pairing, and sharing what you know with peers.

• Define and evolve Ford’s overall Application Programming Interfaces (“APIs”) technical strategy. • Design scalable and flexible API architectures that support business requirements. • Create and maintain technical roadmaps for APIs development and evaluate/implement new technologies and architectural patterns. • Lead a team of software engineers/API developers and provide technical mentorship, code/ technical reviews, and guidance. • Establish best practices for API design, documentation, and implementation. • Oversee the development of REST, GraphQL, and potentially gRPC APIs. • Ensure high-quality, performant, and secure API implementation. • Develop standards for API documentation, versioning, deprecation policies, monitoring, logging, and observability solutions. • Create strategies for load balancing, caching, rate limiting, robust error handling and resilience mechanisms. • Implement comprehensive API security measures and design authentication and authorization frameworks. • Integrate AI copilot companion. • Ensure compliance with industry security standards and conduct regular security audits and vulnerability assessments. • Work closely with product management, engineering teams, and stakeholders to translate business requirements into technical specifications. • Present technical solutions and architectural decisions and facilitate cross-team technical discussions. • Develop and implement applications which employ API Management offerings across the enterprise. • Build out vital products, microservices and APIs to support API publishing, catalog, and access. • Enhance testing platforms, improve test automation, and foster software craftsmanship and practices. • Collaborate with multi-skilled teams working on API to enable software solutions. • Engage in Test-First development and Test-Driven Cloud development using cutting-edge technologies and integrations with enterprise systems. • Identify and resolve technical issues and mitigate technical risks across product, microservice and API build outs, working to implement existing resolutions and develop new solutions as necessary. • Perform experiments across new and innovative cloud technologies and software products to optimize performance, monitoring and evaluating solution performance. • Drive the implementation of Cloud Native approaches: API First, Microservice architectures, Code Quality, Security, and CI/CD to deliver required functional and non-functional benefits in alignment with industry best practices.

• Design, develop, and maintain agentic orchestrations, automated workflows, and internal tools that improve software delivery outcomes. • Partner with QA, product management, product ownership, engineering leadership, and design to identify workflow bottlenecks and build solutions that improve collaboration and delivery quality. • Develop agent-based workflows that can coordinate multi-step tasks, interact with internal systems, use tools safely, and provide reliable, auditable outputs. • Establish patterns and best practices for building trustworthy AI-assisted software delivery tools, including guardrails, validation steps, human-in-the-loop review, and measurable quality controls. • Evaluate emerging AI, automation, and orchestration technologies and determine how they can be responsibly applied to software delivery. • Build reusable frameworks, services, APIs, and integrations that enable teams to automate common delivery activities. • Improve engineering effectiveness by reducing repetitive manual work, increasing consistency, and helping teams make better technical and product decisions. • Collaborate with security, compliance, and architecture stakeholders to ensure internal tools meet organizational standards for reliability, privacy, maintainability, and governance. • Perform occasional full-stack feature development within the context of the AI Toolset • Mentor and assist in the training and onboarding of new developers