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Principal Engineer; Director - Mobile Engineering

Job in Bethesda, Montgomery County, Maryland, 20811, USA
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
Position: Principal Engineer (Director) - Mobile Engineering

Principal Engineer (Director) - Mobile Engineering

Overview

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.

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.
Candidate Profile

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
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 (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
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…
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