AVP, Mobile Engineer III - AI native (L10)

Job Description: Role Title : AVP, Mobile Engineer III - AI native (L10) Company Overview: Synchrony (NYSE: SYF) is a leading consumer financing company that has been at the heart of American commerce and opportunity for nearly a century. Synchrony delivers credit and banking products that empower tens of millions of consumers to improve their financial lives and access what matters most. Leveraging innovative solutions that are shaping the future of retail commerce, Synchrony supports the growth and success of some of the nation’s most respected brands, alongside hundreds of thousands of small and midsize businesses, including health and wellness providers. Committed to excellence in service and culture, Synchrony is proud to be named as #3 as a Great Place to Work® in India and is honored to be ranked the #1 Best Company to Work For® in the U.S. by Fortune magazine and Great Place to Work®. For more information, visit www.synchrony.com. Organizational Overview: We are looking for a Senior AI-Native Mobile Engineer with deep expertise in native iOS engineering and strong fluency in Generative AI, Agentic AI, and AI-assisted software engineering practices .  This is not a traditional mobile development role .  This role combines the expectations of a senior hands-on iOS technical leader with the mindset of an AI-native engineer who helps define how modern mobile applications are designed, built, tested, and delivered using A You will lead the design and development of high-quality, secure, scalable mobile experiences , while also driving adoption of AI-powered engineering workflows , reusable patterns, and platform capabilities that improve developer productivity and technical outcomes across the mobile organization. You will work at the intersection of: Native iOS Engineering + Generative AI + Agentic AI + Developer Productivity + Mobile Platform Leadership Role Summary / Purpose The Senior AI-Native Mobile Engineer is a senior individual contributor responsible for leading the design, development, and evolution of high-quality iOS applications and shared mobile capabilities. This role provides hands-on technical leadership across application architecture, feature delivery, AI-powered mobile experiences, performance, reliability, security, accessibility, observability, and developer experience. The role partners closely with Engineering Managers, Tech Leads, Android engineers, QE leads, backend engineers, architects, and platform teams to deliver scalable, secure, and consistent customer experiences. In addition to strong native mobile engineering depth, this role is expected to actively leverage and champion AI-assisted and AI-native engineering practices across the software development lifecycle. Key Responsibilities Native Mobile Engineering   Lead the technical design, development, and delivery of complex native iOS features and platform capabilities.  Design and build high-quality mobile applications using Swift, SwiftUI, UIKit, Xcode, and Apple’s iOS SDKs .  Define and apply scalable architecture patterns that ensure maintainability, testability, performance, and alignment with enterprise standards.  Build secure, performant, reliable mobile applications with strong attention to accessibility and user experience.  Integrate backend services using REST, GraphQL, WebSocket , and related service patterns.  Collaborate with backend and platform engineering teams on API contracts, authentication, resiliency, error handling, and service integration requirements.  Diagnose and resolve complex production issues involving crashes, performance bottlenecks, networking, concurrency, memory management, and application stability.  Drive best practices for code quality, automated testing, observability, release readiness, and operational excellence.  Contribute to reusable iOS components, frameworks, SDKs, shared libraries, and mobile platform foundations.  Partner with Android engineers to promote consistent mobile patterns, shared standards, and cohesive cross-platform experiences. Generative AI & Agentic AI   Integrate LLM capabilities into mobile applications to enable AI-powered conversational, search, recommendation, and workflow-driven experiences.  Build production-quality mobile experiences powered by Generative AI and AI agents .  Integrate AI models and services such as OpenAI, Azure OpenAI, Gemini, Claude , or enterprise AI platforms.  Implement streaming responses, tool/function calling, structured outputs, and multimodal experiences within mobile applications.  Build and integrate AI agents and agentic workflows that improve customer experience or engineering execution.  Work with technologies such as MCP, RAG, LangGraph, LangChain , or equivalent orchestration frameworks where appropriate.  Design secure AI architectures covering data handling, context management, authentication, authorization, privacy, and governance.  Help define practical standards for safe, scalable adoption of AI in mobile applications within a regulated environment. AI-Native Software Engineering   Actively leverage AI tools such as GitHub Copilot and other LLM-based engineering tools for code generation, refactoring, testing, documentation, troubleshooting, and technical discovery.  Build AI-powered workflows across the software development lifecycle, including requirements analysis, architecture, implementation, testing, and code review.  Explore and develop engineering agents that can interpret Jira stories, analyze codebases, generate implementation plans, and support development workflows.  Automate repetitive engineering activities using AI agents, developer tools, and intelligent workflows.  Champion practical AI-assisted engineering practices while maintaining strong engineering judgment, quality, security, and compliance standards.  Continuously evaluate emerging AI models, coding assistants, agents, frameworks, and