Principal AI Software Engineer, Mobile Engineering

Serves as the technical leader for integrating AI across native iOS and Android engineering teams. Drives adoption and effective use of AI-enabled capabilities throughout the Agile delivery workflow—enabling engineers to leverage technologies such as Cursor, LLM-based IDE integrations (Xcode, Android Studio), and emerging AI developer tooling across the software development lifecycle. Champions a culture of rapid learning, experimentation, and collaborative engagement, ensuring actionable feedback informs evolving strategies and implementation plans.  Partners closely with Principal Engineers, Engineering Directors, Enterprise Architecture, and squad Tech Leads to advise on complex technical challenges—producing high-quality, scalable, and secure solutions. Conducts solution reviews, provides hands-on coaching, and recommends improvements to development patterns, workflows, tools, and standards.  Beyond AI initiatives, this role also leads core mobile engineering practices—architecting scalable iOS and Android solutions, optimizing performance, and ensuring code quality and security. Guides teams through complex integrations, modernization initiatives, and platform-specific challenges while partnering with feature teams and UX to deliver intuitive, high-performing experiences.  Excels at communicating complex concepts clearly and effectively—both in writing and in presentations tailored to technical and executive audiences. Maintains a strategic mindset that continuously reinforces the broader organizational context, building actionable plans that guide teams toward aligned and measurable outcomes.  Stays current with the rapidly evolving AI and Mobile ecosystems to remain a trusted authority on emerging capabilities and industry best practices. Researches new tools, frameworks, and models, assessing them objectively against business goals and constraints. Leads proof-of-concept efforts and educates the broader mobile engineering community internally and externally.  CANDIDATE PROFILE  Education and Experience  Required:  10+ years of hands-on native mobile application development (iOS or Android)  Demonstrated experience integrating AI tools (., Cursor or similar, LLMs) into mobile development workflows  Demonstrated ability to rapidly learn and operationalize new technologies Track record of leading technical teams and delivering results in Agile environments  Strong technical expertise in mobile development and AI-assisted developer tools Undergraduate or graduate degree in a technical field, or equivalent experience  Preferred:  Demonstrated success leading cross-functional and/or transformation initiatives  Excellent written and verbal communication skills; able to present to technical and executive audiences  Experience facilitating working groups, community forums, or feedback-driven process evolution CORE WORK ACTIVITIES  AI Strategy & Tool Integration  Define and drive an evolving strategy for AI adoption within mobile engineering  Lead integration of AI tooling across ideation, coding, testing, and code review  Establish and maintain best practices for AI-assisted development (., “Rules” in Cursor) tailored to iOS and Android  Ensure appropriate code-quality, privacy, and IP safeguards when integrating AI tooling  Leverage MCP Servers to extend AI integration across various tools  Promote spec-driven development to ensure AI-generated code aligns with clearly defined contracts, behaviors, and acceptance criteria; encourage developers to use structured specifications to guide prompt engineering, code generation, and automated validation  Collaboration & Guidance  Create and lead a working group to gather input, share learnings, and provide ongoing direction  Foster an inclusive environment that encourages peer contribution to process and tool evolution  Communicate strategy, progress, and outcomes to developers, leaders, and digital executives  Continuous Improvement  Monitor, measure, and refine processes to ensure AI enables creativity, innovation, and efficiency  Continuously incorporate feedback and industry trends to keep tooling and approaches current and effective  Objectively assess emerging technologies through prototypes and proof of concepts EXPECTED OUTPUTS  A comprehensive, living strategy for AI adoption—accessible to both developers and executives  Documented best practices and evolving processes for AI-assisted workflows  Platform-specific coding guidelines and rule sets for AI tools (., Cursor) supporting iOS and Android development  Defined metrics and KPIs that quantify adoption, efficiency gains, quality improvements, and developer experience outcomes At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law.