{"id":3481750,"url":"https://alion.io/job/synchrony-avp-mobile-engineer-iii-ai-native","title":"AVP, Mobile Engineer III - AI native","company":{"id":638533,"name":"Synchrony","domain":"synchrony.fi","url":"https://alion.io/company/synchrony-fi","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Mobile","role_family":"Mobile","seniority":"head","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Function Calling","optional":false},{"name":"Gemini","optional":false},{"name":"GraphQL","optional":false},{"name":"Jetpack Compose","optional":false},{"name":"Jira","optional":false},{"name":"Kotlin","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multimodal AI","optional":false},{"name":"OpenAI","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Swift","optional":false},{"name":"SwiftUI","optional":false},{"name":"UIKit","optional":false},{"name":"WebSockets","optional":false},{"name":"Amazon CloudWatch","optional":true},{"name":"API Gateway","optional":true},{"name":"Bitrise","optional":true},{"name":"Claude Code","optional":true},{"name":"Clean Architecture","optional":true},{"name":"CocoaPods","optional":true},{"name":"Core ML","optional":true},{"name":"Crashlytics","optional":true},{"name":"Cursor","optional":true},{"name":"Datadog","optional":true},{"name":"Dependency Injection","optional":true},{"name":"Edge AI","optional":true},{"name":"Fastlane","optional":true},{"name":"Firebase","optional":true},{"name":"GCD","optional":true},{"name":"Git","optional":true},{"name":"GitHub Actions","optional":true},{"name":"iOS SDK","optional":true},{"name":"MediaPipe","optional":true},{"name":"ML Kit","optional":true},{"name":"Modularization","optional":true},{"name":"MVVM","optional":true},{"name":"New Relic","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Reactive Programming","optional":true},{"name":"Splunk","optional":true},{"name":"Swift Concurrency","optional":true},{"name":"XCTest","optional":true},{"name":"XCUITest","optional":true}],"status":"live","first_seen_at":"2026-10-29T17:33:25Z","employer_posted_date":null,"last_verified_at":"2026-10-29T17:33:25Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Role Title : AVP, Mobile Engineer III - AI native (L10)\n\nCompany 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.\n\nOrganizational Overview\n\nWe 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.\n\nThis is not a traditional mobile development role.\n\nThis 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\n\nYou 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.\n\nYou Will Work At The Intersection Of\n\nNative iOS Engineering + Generative AI + Agentic AI + Developer Productivity + Mobile Platform Leadership\n\nRole Summary / Purpose\n\nThe 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.\n\nThe 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.\n\nKey Responsibilities\n\nNative Mobile Engineering\n\nLead the technical design, development, and delivery of complex native iOS features and platform capabilities. \nDesign and build high-quality mobile applications using Swift, SwiftUI, UIKit, Xcode, and Apple's iOS SDKs. \nDefine and apply scalable architecture patterns that ensure maintainability, testability, performance, and alignment with enterprise standards. \nBuild secure, performant, reliable mobile applications with strong attention to accessibility and user experience. \nIntegrate backend services using REST, GraphQL, WebSocket, and related service patterns. \nCollaborate with backend and platform engineering teams on API contracts, authentication, resiliency, error handling, and service integration requirements. \nDiagnose and resolve complex production issues involving crashes, performance bottlenecks, networking, concurrency, memory management, and application stability. \nDrive best practices for code quality, automated testing, observability, release readiness, and operational excellence. \nContribute to reusable iOS components, frameworks, SDKs, shared libraries, and mobile platform foundations. \nPartner with Android engineers to promote consistent mobile patterns, shared standards, and cohesive cross-platform experiences.\n\nGenerative AI & Agentic AI\n\nIntegrate LLM capabilities into mobile applications to enable AI-powered conversational, search, recommendation, and workflow-driven experiences. \nBuild production-quality mobile experiences powered by Generative AI and AI agents. \nIntegrate AI models and services such as OpenAI, Azure OpenAI, Gemini, Claude, or enterprise AI platforms. \nImplement streaming responses, tool/function calling, structured outputs, and multimodal experiences within mobile applications. \nBuild and integrate AI agents and agentic workflows that improve customer experience or engineering execution. \nWork with technologies such as MCP, RAG, LangGraph, LangChain, or equivalent orchestration frameworks where appropriate. \nDesign secure AI architectures covering data handling, context management, authentication, authorization, privacy, and governance. \nHelp define practical standards for safe, scalable adoption of AI in mobile applications within a regulated environment.\n\nAI-Native Software Engineering\n\nActively leverage AI tools such as GitHub Copilot and other LLM-based engineering tools for code generation, refactoring, testing, documentation, troubleshooting, and technical discovery. \nBuild AI-powered workflows across the software development lifecycle, including requirements analysis, architecture, implementation, testing, and code review. \nExplore and develop engineering agents that can interpret Jira stories, analyze codebases, generate implementation plans, and support development workflows. \nAutomate repetitive engineering activities using AI agents, developer tools, and intelligent workflows. \nChampion practical AI-assisted engineering practices while maintaining strong engineering judgment, quality, security, and compliance standards. \nContinuously evaluate emerging AI models, coding assistants, agents, frameworks, and developer productivity tools.\n\nMobile Platform, Engineering Excellence & Leadership\n\nHelp establish reusable AI capabilities and engineering patterns across mobile teams. \nDevelop common patterns, APIs, SDKs, frameworks, and standards for AI-powered mobile experiences. \nImprove mobile build and release reliability through contributions to CI/CD pipelines, build automation, code-quality gates, security scanning, and deployment workflows. \nDrive mobile observability through crash analytics, performance monitoring, logging, release-health metrics, and rollout analysis. \nParticipate in architecture reviews, technical spikes, proof-of-concepts, and design discussions for foundational mobile capabilities. \nMentor and coach engineers on Swift, SwiftUI, UIKit, architecture, testing, debugging, and technical decision-making. \nProduce clear technical documentation, including design proposals, implementation guidance, architecture decision records, and operational runbooks. \nParticipate in Agile ceremonies, PI planning, ART syncs, and cross-team coordination, identifying and escalating technical risks early. \nContribute to communities of practice, engineering standards, internal knowledge sharing, and developer experience improvements. \n\nRequired Skills/Knowledge\n\nBachelor's Degree and 5+ years of relevant experience in Information Technology, or in lieu of a degree, 7+ years of relevant experience in Information Technology. \nStrong hands-on experience in native iOS development, with deep production expertise in Swift, SwiftUI, UIKit, Xcode, and Apple's iOS SDKs. Working knowledge of Android development concepts, Kotlin, and Jetpack Compose is good to have. \nDemonstrated experience designing, building, and supporting production-scale iOS applications. \nStrong understanding of iOS architecture patterns, including MVVM, Clean Architecture, modularization, dependency injection, and coordinator-based navigation, where applicable. Familiarity with Android architecture principles is a plus. \nStrong understanding of performance, security, testing, accessibility, observability, and release engineering for mobile applications.\nExperience integrating mobile applications with RESTful APIs, microservices, authentication services, API gateway patterns, and modern backend services.\nStrong knowledge of Swift concurrency, async/await, actors, GCD, reactive programming, and asynchronous networking.\nExperience building reusable iOS components, frameworks, SDKs, or shared libraries.\nHands-on experience integrating Generative AI / LLM capabilities into software applications.\nExperience with LLM APIs, prompt engineering, tool/function calling, structured outputs, or AI agents.\nDemonstrated AI fluency, including productive use of GitHub Copilot or equivalent AI-assisted development tools. \nExperience with CI/CD, build automation, code signing, provisioning, test automation, and release workflows. \nStrong testing experience including unit, integration, UI, and automation testing using tools such as XCTest and XCUITest. \nFamiliarity with secure coding practices, static analysis, dependency scanning, and mobile security standards. \nWorking knowledge of Android architecture and development concepts to enable effective cross-platform collaboration. \nStrong analytical, system design, debugging, problem-solving, and technical communication skills. \nAbility to influence technical decisions and collaborate effectively across teams without direct authority. \nExperience working in Agile delivery environments at scale, including SAFe or similar frameworks. \nWithin the first year, you will help us:\nDeliver production-quality AI-powered mobile experiences on iOS. \nEstablish reusable patterns for AI-native mobile development. \nLead the implementation of scalable, secure, and maintainable iOS architecture and platform capabilities. \nImprove engineering quality and speed through AI-assisted and agentic development workflows. \nAutomate meaningful portions of the mobile software development lifecycle. \nStrengthen standards for mobile architecture, testing, security, observability, and release engineering. \nImprove developer productivity through reusable tooling, frameworks, and AI-enabled engineering practices. \nHelp move mobile engineering from AI-assisted development to AI-native engineering. \n\nDesired Skills/Knowledge\n\nExperience with both iOS & Android. \nExperience with SwiftUI migration strategies from UIKit-based applications. \nExperience with Jetpack Compose and broader Android mobile patterns. \nExperience with OpenAI, Azure OpenAI, Gemini, Claude, or equivalent enterprise AI platforms. \nExperience with MCP, RAG, LangGraph, LangChain, or similar agent orchestration technologies. \nExperience building AI agents, internal developer platforms, or engineering productivity solutions. \nExperience with mobile CI/CD and build automation tools such as Bitrise, Xcode Cloud, Fastlane, GitHub Actions, or similar. \nExperience with modular architecture, Swift Package Manager, CocoaPods, dependency management, and versioning strategies. \nExperience with on-device AI, Core ML, Apple Intelligence, ML Kit, MediaPipe, or local/edge model execution. \nExperience with service virtualization, API mocking, contract testing, and test-environment management. \nExperience with observability platforms such as New Relic, Splunk, Datadog, Firebase Crashlytics, CloudWatch, or similar. \nExperience implementing accessibility aligned with WCAG and Apple accessibility standards. \nExperience in financial services or other regulated, security-sensitive environments. \nExperience working with distributed, cross-shore engineering teams across time zones. \nExperience contributing to communities of practice, standards documentation, and technical forums. \n\nKey Technologies\n\n Swift, SwiftUI, UIKit, Xcode, iOS SDK, Kotlin, Jetpack Compose, Android SDK\n\nAI: LLMs, Generative AI, AI Agents, RAG, Tool Calling, MCP, Agentic Workflows\n\nAI Platforms: OpenAI, Azure OpenAI, Gemini, Claude, enterprise AI platforms\n\nEngineering: Git, CI/CD, automated testing, observability, APIs, cloud p...","description_format":"text","description_chars":13203,"description_truncated":true,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Robotics AI","Robotic Software & Control Systems"],"lifecycle":[{"event":"open","at":"2026-10-29T20:10:15Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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