Lead Engineer – Mobile Platform (AI & Cross-Platform) - Remote

UnitedHealth Group•Minnetonka, MN

39d•Remote

About The Position

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Development, and evolution of our next-generation mobile platform with integrated AI capabilities. The ideal candidate will have deep expertise in cross-platform frameworks (React Native), and AI/ML integration. This role requires strategic architectural vision, solid hands-on engineering skills, and the ability to guide teams in building scalable, performant, and secure mobile experiences powered by AI. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

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

Nice To Haves

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)

Responsibilities

Architecture & Platform Leadership: Define and drive the technical roadmap across native (iOS, Android) and cross-platform (React Native) solutions
AI Integration: Implement and optimize AI/ML models for mobile apps using Core ML, TensorFlow Lite, PyTorch Mobile, and ONNX Runtime Mobile
Hands-on Development: Deliver clean, scalable, and maintainable code in Swift, Kotlin/Java, TypeScript/JavaScript (React Native), and Python for ML workflows
React Native Expertise: 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
Framework & Tooling: Establish SDKs, libraries, and shared components to unify native and RN ecosystems
Performance & Security: Optimize AI features for latency, memory, battery usage, and enforce enterprise security standards
Collaboration: Partner with data scientists, backend engineers, and designers to deliver seamless AI-driven user experiences
Mentorship & Leadership: Provide technical mentorship on both AI/ML and mobile platform engineering
Innovation: 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