Optum is a global organization that delivers care aided by technology to help millions of people live healthier lives. The Lead Engineer will be responsible for the development and evolution of a next-generation mobile platform with integrated AI capabilities, guiding teams in building scalable and secure mobile experiences powered by AI.
Responsibilities:
- Define and drive the technical roadmap across native (iOS, Android) and cross-platform (React Native) solutions
- Implement and optimize AI/ML models for mobile apps using Core ML, TensorFlow Lite, PyTorch Mobile, and ONNX Runtime Mobile
- Deliver clean, scalable, and maintainable code in Swift, Kotlin/Java, TypeScript/JavaScript (React Native), and Python for ML workflows
- Architect hybrid apps combining React Native with native modules
- Leverage Fabric, TurboModules, and Hermes for performance
- Enable OTA updates via CodePush, Expo Updates, and ensure smooth CI/CD delivery
- Establish SDKs, libraries, and shared components to unify native and RN ecosystems
- Optimize AI features for latency, memory, battery usage, and enforce enterprise security standards
- Partner with data scientists, backend engineers, and designers to deliver seamless AI-driven user experiences
- Provide technical mentorship on both AI/ML and mobile platform engineering
- Experiment with generative AI, personalization engines, multimodal models, and their deployment in mobile apps
- Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI
- Leverage enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement
- Evaluate emerging trends to inform solution design and strategic innovation
Requirements:
- Bachelor's or Master's in Computer Science, Engineering, or related field
- 10+ years of software engineering experience, with at least 5 years in mobile platform architecture
- Experience with programming languages: Mobile: React Native, Kotlin/Java, Cross-platform: JavaScript/TypeScript (React Native), AI/ML: Python (PyTorch, TensorFlow, Hugging Face, ONNX)
- Mobile Development Tools & Frameworks experience to include: iOS: Xcode, SwiftUI, UIKit, Combine, Android: Android Studio, Jetpack Compose, Gradle, React Native: RN CLI, Expo, Redux/Context API, React Navigation, Metro bundler
- AI/ML Tools & Frameworks experience to include: On-device: Core ML, TensorFlow Lite, PyTorch Mobile, ONNX Runtime Mobile, Training/Serving: PyTorch, TensorFlow, Hugging Face Transformers, Optimization: Quantization, pruning, distillation, TensorRT
- Cloud & Backend Platforms experience with AWS SageMaker, GCP Vertex AI, Firebase, Azure AI, GraphQL, REST APIs
- CI/CD & DevOps: GitHub Actions, Fastlane, Bitrise, Jenkins, AppCenter, Docker, Kubernetes
- Testing & QA experience with: React Native: Jest, Detox, iOS: XCTest, Android: Espresso, E2E: Appium
- Monitoring & Analytics experience with Firebase Crashlytics, Sentry, Datadog, New Relic, Mixpanel
- Security & Privacy experience with OAuth 2.0, JWT, Keychain/Keystore, secure storage, differential privacy
- Experience leading large-scale React Native + native hybrid projects
- Knowledge of generative AI (LLMs, diffusion models, multimodal) applied in mobile contexts
- Contributions to open-source React Native or AI libraries
- Expertise in design systems for consistent cross-platform UI
- Familiarity with global-scale delivery (internationalization, accessibility, offline-first apps)
- All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy