AVP, Mobile Engineer III - AI native (L10) at Synchrony… · Hyderabad…

AVP, Mobile Engineer III - AI native (L10)

Location: Hyderabad IN

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 developer productivity tools.

Mobile Platform, Engineering Excellence & Leadership

• Help establish reusable AI capabilities and engineering patterns across mobile teams.

• Develop common patterns, APIs, SDKs, frameworks, and standards for AI-powered mobile experiences.

• Improve mobile build and release reliability through contributions to CI/CD pipelines, build automation, code-quality gates, security scanning, and deployment workflows.

• Drive mobile observability through crash analytics, performance monitoring, logging, release-health metrics, and rollout analysis.

• Participate in architecture reviews, technical spikes, proof-of-concepts, and design discussions for foundational mobile capabilities.

• Mentor and coach engineers on Swift, SwiftUI, UIKit, architecture, testing, debugging, and technical decision-making.

• Produce clear technical documentation, including design proposals, implementation guidance, architecture decision records, and operational runbooks.

• Participate in Agile ceremonies, PI planning, ART syncs, and cross-team coordination, identifying and escalating technical risks early.

• Contribute to communities of practice, engineering standards, internal knowledge sharing, and developer experience improvements.

Required Skills/Knowledge:

• Bachelor’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.
• Strong 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.
• Demonstrated experience designing, building, and supporting production-scale iOS applications.
• Strong 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.
• Strong understanding of performance, security, testing, accessibility, observability, and release engineering for mobile applications.
• Experience integrating mobile applications with RESTful APIs, microservices, authentication services, API gateway patterns, and modern backend services.
• Strong knowledge of Swift concurrency, async/await, actors, GCD, reactive programming, and asynchronous networking.
• Experience building reusable iOS components, frameworks, SDKs, or shared libraries.
• Hands-on experience integrating Generative AI / LLM capabilities into software applications.
• Experience with LLM APIs, prompt engineering, tool/function calling, structured outputs, or AI agents.
• Demonstrated AI fluency, including productive use of GitHub Copilot or equivalent AI-assisted development tools.

• Experience with CI/CD, build automation, code signing, provisioning, test automation, and release workflows.

• Strong testing experience including unit, integration, UI, and automation testing using tools such as XCTest and XCUITest.

• Familiarity with secure coding practices, static analysis, dependency scanning, and mobile security standards.

• Working knowledge of Android architecture and development concepts to enable effective cross-platform collaboration.

• Strong analytical, system design, debugging, problem-solving, and technical communication skills.

• Ability to influence technical decisions and collaborate effectively across teams without direct authority.

• Experience working in Agile delivery environments at scale, including SAFe or similar frameworks.
• Within the first year, you will help us:
  • Deliver production-quality AI-powered mobile experiences on iOS.
  • Establish reusable patterns for AI-native mobile development.
  • Lead the implementation of scalable, secure, and maintainable iOS architecture and platform capabilities.
  • Improve engineering quality and speed through AI-assisted and agentic development workflows.
  • Automate meaningful portions of the mobile software development lifecycle.
  • Strengthen standards for mobile architecture, testing, security, observability, and release engineering.
  • Improve developer productivity through reusable tooling, frameworks, and AI-enabled engineering practices.
  • Help move mobile engineering from AI-assisted development to AI-native engineering.

Desired Skills/Knowledge:

• Experience with both iOS & Android.

• Experience with SwiftUI migration strategies from UIKit-based applications.

• Experience with Jetpack Compose and broader Android mobile patterns.

• Experience with OpenAI, Azure OpenAI, Gemini, Claude, or equivalent enterprise AI platforms.

• Experience with MCP, RAG, LangGraph, LangChain, or similar agent orchestration technologies.

• Experience building AI agents, internal developer platforms, or engineering productivity solutions.

• Experience with mobile CI/CD and build automation tools such as Bitrise, Xcode Cloud, Fastlane, GitHub Actions, or similar.

• Experience with modular architecture, Swift Package Manager, CocoaPods, dependency management, and versioning strategies.

• Experience with on-device AI, Core ML, Apple Intelligence, ML Kit, MediaPipe, or local/edge model execution.

• Experience with service virtualization, API mocking, contract testing, and test-environment management.

• Experience with observability platforms such as New Relic, Splunk, Datadog, Firebase Crashlytics, CloudWatch, or similar.

• Experience implementing accessibility aligned with WCAG and Apple accessibility standards.

• Experience in financial services or other regulated, security-sensitive environments.

• Experience working with distributed, cross-shore engineering teams across time zones.

• Experience contributing to communities of practice, standards documentation, and technical forums.

Key Technologies

Mobile: Swift, SwiftUI, UIKit, Xcode, iOS SDK, Kotlin, Jetpack Compose, Android SDK

AI: LLMs, Generative AI, AI Agents, RAG, Tool Calling, MCP, Agentic Workflows

AI Platforms: OpenAI, Azure OpenAI, Gemini, Claude, enterprise AI platforms

Engineering: Git, CI/CD, automated testing, observability, APIs, cloud platforms

AI Development: GitHub Copilot, Cursor, Claude Code, and emerging AI coding/agent platforms

Work Timings 2:00PM to 11:00 PM IST

This role qualifies for Enhanced Flexibility offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs).

For Internal Applicants:

• Understand the criteria or mandatory skills required for the role, before applying
• Inform your manager and HRM before applying for any role on Workday
• Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format)
• Must not be any corrective action plan (First Formal/Final Formal )
• L08+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible.
• L08+ Employees can apply

Level / Grade : 10

Job Family Group:

Information Technology