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Principal Engineer; Director - Mobile Engineering
Job in
Bethesda, Montgomery County, Maryland, 20811, USA
Listed on 2025-12-25
Listing for:
Jobs via Dice
Full Time
position Listed on 2025-12-25
Job specializations:
-
IT/Tech
AI Engineer
Job Description & How to Apply Below
Principal Engineer (Director) - Mobile Engineering
OverviewServes 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.
Responsibilities- 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.
- 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.
- Communicates complex concepts clearly and effectively, both in writing and in presentations tailored to technical and executive audiences.
- Stays current with the rapidly evolving AI and Mobile ecosystems, researching 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.
Education and Experience
Required:
- 10+ years of hands‑on native mobile application development (iOS or Android)
- Demonstrated experience integrating AI tools (e.g., 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
- 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 (e.g., “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
- 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
- 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
- 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…
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