Daten
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
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