Lead AI Engineer (Mobile Technology)
About the role
We are seeking an experienced, hands-on technology leader to shape how AI-enabled software engineering evolves across our mobile organization. This role will focus on designing, building, and scaling AI-native engineering workflows that improve how native mobile applications are architected, developed, tested, and released.
Responsibilities
Lead AI-Native Engineering for Mobile
Translate business and product requirements into engineering-ready technical designs, implementation plans, and scalable mobile solutions
Drive high-quality engineering outcomes aligned with architecture standards, platform strategy, security requirements, and release goals
Apply AI across the software development lifecycle to improve quality, speed, consistency, and maintainability
Design and Build Agentic AI Engineering Workflows
Develop reusable engineering assets, including: Prompt and context libraries, Agent instructions and workflow templates, Structured technical specification standards, Validation frameworks for AI-assisted outputs, Reusable native mobile implementation and testing patterns
Establish mechanisms for: Human-in-the-loop review and engineering quality control, Workflow evaluation and continuous improvement, Performance tuning and optimization of AI-enabled systems, Traceability across AI-generated outputs, engineering decisions, and release artifacts
Modernize Native Mobile Engineering Workflows
Improve how teams move from requirements and design artifacts to engineering-ready specifications and implementation
Strengthen design-to-code handoffs and improve engineering readiness across the delivery lifecycle
Advance automation across coding, testing, validation, and release processes
Improve software quality, observability, telemetry, and release confidence through AI-enabled engineering practices
Pilot, evaluate, and scale AI-enabled engineering capabilities across native mobile teams
Assess emerging AI tools, coding assistants, frameworks, and orchestration patterns for enterprise use
Influence engineering standards and ways of working through technical depth, credibility, and hands-on leadership
Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
8+ years of experience in software engineering, native mobile engineering, or technical leadership roles
Strong hands-on experience building native mobile applications for iOS and/or Android
Proven experience leading engineering delivery across cross-functional teams
Hands-on experience designing, building, or operating AI-enabled or agentic engineering workflows in real-world software development environments
Strong software engineering fundamentals, including architecture, APIs, testing, release processes, and modern development practices
Experience translating business and product requirements into technical specifications, engineering plans, and production-ready solutions
Experience applying AI to improve engineering systems and workflows at scale
Strong communication and influencing skills across engineers, architects, stakeholders, and leaders
Able to operate effectively in ambiguous, fast-moving environments
Preferred Experience
Designing or scaling agentic workflows, prompt libraries, or context repositories for engineering teams
Experience with spec-driven development and AI-assisted coding workflows
Experience with workflow automation, CI/CD, test automation, and release engineering
Experience leading technical initiatives across native mobile engineering organizations
Familiarity with governance, risk, compliance, and human oversight considerations for AI-enabled systems