Lead Software Engineer (Native Mobile AI Engineering)

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.Â

We believe doing the right thing for our clients and our associates is good business. With a career at the firm, you can expect opportunities to create real impact at work and in your community. You’ll enjoy resources to support your career path, as well as compensation, benefits, and flexibility to enrich your life. Here, you’ll find a collaborative culture that respects and values differences and colleagues who share a spirit of generosity. Â

Join us for the opportunity to grow and make a difference in ways that matter to you.Â

Role SummaryÂ

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.Â

This role sits at the intersection of:Â

• Native mobile engineering leadershipÂ
• AI-enabled software development workflowsÂ
• Spec-driven engineering and technical designÂ
• Agentic workflow design and orchestrationÂ
• Engineering quality, testing, and release automationÂ
• Cross-functional technology leadershipÂ

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ResponsibilitiesÂ

Lead AI-Native Engineering for Mobile:Â

• Lead technical execution across one or more native mobile domains, partnering with engineering, architecture, product, design, security, and platform stakeholdersÂ
• Translate business and product requirements into engineering-ready technical designs, implementation plans, and scalable mobile solutionsÂ
• Drive high-quality engineering outcomes aligned with architecture standards, platform strategy, security requirements, and release goalsÂ