Lead AI Engineer (Mobile Technology)

At T. Rowe Price, we identify and actively invest in opportunities to help people thrive in an evolving world. As a premier global asset management organization with more than 85 years of experience, we provide investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors. We take an active, independent approach to investing, offering our dynamic perspective and meaningful partnership so our clients can feel more confident.   We believe doing the right thing for our clients and our associates is good business . With a career at the firm, y ou can expect opportunities to create real impact at work and in your community. Y ou’ll enjoy resources to support your career path, a s well as compensation , benefits , and flexibility to enrich your life. Here, you’ll find a collaborative culture that respect s and valu e s differences and colleagues who share a spirit of generosity .    Join us for the opportunity to g row and make a difference in ways that matter to you .   Role Summary   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. The ideal candidate brings deep expertise in native mobile engineering, strong software architecture fundamentals, and practical experience building AI-assisted or agentic engineering systems. This person will partner closely with engineering, architecture, product, design, security, and platform teams to modernize mobile development practices and accelerate the path from requirements and design intent to production-ready software.   This role sits at the intersection of:   Native mobile engineering leadership   AI-enabled software development workflows   Spec-driven engineering and technical design   Agentic workflow design and orchestration   Engineering quality, testing, and release automation   Cross-functional technology leadership   Responsibilities   Lead AI-Native Engineering for Mobile   Lead technical execution across one or more native mobile domains, partnering with engineering, architecture, product, design, security, and platform stakeholders   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   Serve as a hands-on technical leader who defines engineering patterns and contributes to implementation   Design and Build Agentic AI Engineering Workflows   Design, build, and operationalize AI and agentic workflows that improve:    Technical analysis and decomposition   Engineering specification generation   Design-to-engineering translation   Code generation and review support   Test case generation and validation   Release readiness and deployment workflows   Documentation and engineering knowledge capture   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   Establish and scale spec-driven engineering practices for iOS and Android development   Integrate tools such as GitHub, CI/CD pipelines, Confluence, Figma, Jira, and AI platforms into repeatable development workflows   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   Drive AI-Enabled Engineering Transformation   Identify opportunities to fundamentally improve how engineering work is performed through AI, not just accelerate isolated tasks   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   Help define best practices for safe, scalable, and effective AI adoption in software engineering   Contribute to the broader engineering strategy for AI-assisted development, workflow modernization, and technical enablement   Partner Across Teams   Collaborate closely with mobile engineers, architects, platform teams, product managers, designers, and business stakeholders   Communicate complex technical concepts clearly to technical and non-technical audiences   Align engineering execution with business priorities, technical strategy, risk controls, and user experience goals   Influence engineering standards and ways of working through technical depth, credibility, and hands-on leadership   Qualifications   Required: 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 tech