Mobility Practice Technical Architect

We are seeking a Mobility Practice Architect to lead the strategy, design, and technical delivery of next-generation enterprise and consumer mobility solutions . This role requires a hands-on technical architect with deep expertise in iOS, Android, and AI/ML integration in mobility , capable of both coding at an expert level and guiding global delivery teams. The Architect will shape the mobility practice by building scalable mobile platforms for field automation, consumer self-service, site surveys, AR/ML-powered validation, and global multilingual deployments . The ideal candidate is a technical visionary who thrives at the intersection of mobile app engineering, AI innovation, and cloud-native architectures . Key Responsibilities Architect and lead development of enterprise-grade mobile applications for field services, consumer engagement, and global operations . Provide hands-on coding and technical leadership across iOS (Swift, SwiftUI, Objective-C) and Android (Kotlin, Java). Design and implement AI/ML-powered mobile features , including AR-enabled site surveys, Edge AI photo audits, and intelligent chatbots. Build offline-first, secure, and multilingual apps optimized for deployment in 80+ countries. Define end-to-end mobile architecture , ensuring integration with cloud services (AWS and GCP) and enterprise backends. Collaborate with product, UX, and backend engineering teams to ensure seamless design-to-delivery execution. Establish mobile DevOps best practices , CI/CD pipelines, automated testing, and release management. Evaluate emerging AI/GenAI frameworks, AR/ML toolkits, and mobility technologies to continually evolve the practice. Mentor engineers, establish coding standards, and guide cross-functional teams on mobile + AI delivery models . Act as a thought leader and client-facing technology advisor , presenting solution roadmaps and innovation strategies. Requirements 12+ years of software engineering experience with at least 6 years as a senior mobile architect/technical lead . Deep hands-on expertise in iOS (Swift, SwiftUI, Objective-C) and Android (Kotlin, Java) application development. Strong experience in AI/ML for mobility – working with frameworks like Core ML, TensorFlow Lite, ML Kit, Hugging Face, and LLM/GenAI APIs . Proven track record in AR/ML integration (ARKit, ARCore) for mobile field automation and site surveys. Advanced knowledge of cloud-native mobile architectures leveraging AWS (S3, Lambda, SageMaker, Bedrock, AppSync), or GCP. Strong understanding of REST/GraphQL APIs, mobile security, authentication (OAuth2/JWT), and data encryption . Experience with multilingual app development , offline-first design, and global deployments. Hands-on experience with CI/CD pipelines (Fastlane, Gradle, GitHub Actions, Jenkins) and automated mobile testing. Excellent problem-solving and debugging skills; ability to dive deep into code and resolve complex technical challenges. Strong leadership skills with the ability to drive innovation, mentor teams, and engage directly with clients . Nice to Have Experience in SaaS platforms, PropTech, or telecom mobility solutions . Knowledge of containerization (Docker, Kubernetes) for mobile backends . Contributions to open-source mobility or AI frameworks . Published technical papers, patents, or podcasts on AI in mobility or mobile architecture innovation . #J-18808-Ljbffr Daten