Mobile Architect

Job Title: Mobile Architect

This role requires an onsite interview.
• Important that candidates can Leverage AI-assisted development tools (e.g., GitHub Copilot, Claude) and agentic workflows to accelerate development and reduce repetitive tasks
• Lead and govern a scalable, multi-module architecture (iOS and Android) that empowers multiple cross-functional feature teams to develop in parallel.
• Drive design patterns for intelligent mobile clients, enabling local orchestration engines, autonomous task execution, and smart background processing that seamlessly interact with cloud services.
• Direct the execution of robust location-aware systems ensuring hyper-precise geofencing and battery-optimized real-time background tracking.
• Architect platform-native, on-demand delivery strategies integrated with OTA remote configuration to optimize binary size, eliminate install friction, and decouple real-time personalization from standard app store release cycles.
• Partner with enterprise architects to design secure, high-throughput integration layers (REST, GraphQL etc ) - spanning mobile payment gateways, loyalty engines, and real-time synchronization across distributed systems.
• Establish a disciplined release train aligned across product, backend, and data dependencies. Own feature-toggle lifecycle, kill-switch protocols, branching strategies, and environment promotion gates. Embed security scanning, dependency auditing, and secrets management into the pipeline. Govern app store operations including phased rollouts, expedited review protocols, and version deprecation across iOS and Android.
• Collaborate with leaders across Mobile Engineering, AI/Data Science, Product, UX/UI, and Security to translate business roadmaps into technical execution blueprints.
• Design a robust, token-driven UI architecture that automates the ingestion of design primitives directly into native platform code, establishing a single source of truth that accelerates cross-functional development velocity..
• Partner with platform and data teams to adopt approved APM, error reporting, and analytics tooling. Ensure mobile delivery adheres to organization-wide quality and performance standards, partnering with the platform team to enforce approved profiling and regression gates before code reaches production.
• Champion the integration of optimized on-device ML models and local LLM runtimes - leveraging platform-native inference engines - to deliver zero-latency, privacy-first user experiences.