About this opportunity
T. Rowe Price lists this Lead Software Engineer (Native Mobile AI Engineering) opportunity in owings mills, Maryland. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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, 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.
Join us for the opportunity to grow 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 workflows. 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 technical leadership roles
Strong hands‑on experience building native mobile applications for iOS and/or Android
Proven experience leading engineering delivery across cross‑functional teams
Hands‑on experience designing, building, or operating AI‑enabled or agentic engineering workflows in real‑world software development environments
Strong software engineering fundamentals, including architecture, APIs, testing, release processes, and modern development practices
Experience translating business and product requirements into technical specifications, engineering plans, and production‑ready solutions
Experience applying AI to improve engineering systems and workflows at scale
Strong communication and influencing skills across engineers, architects, stakeholders, and leaders
Ability to operate effectively in ambiguous, fast‑moving environments
Preferred
Experience designing or scaling agentic workflows, prompt libraries, or context repositories for engineering teams
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Worksite address
owings mills, MD, 21117, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.