Lead Software Engineer, Native Mobile AI Engineering

T. Rowe Price

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Owings Mills, MD
Salary
$145,000–$247,000 / yr
Employment
Full-time
Posted
42 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $192k
This role $196k
$127k $260k
below market most similar roles pay here above market

This role pays more than 55% of similar roles. Most pay $169,050–$214,625 — the blue band above. At the midpoint, this role pays about $196k versus about $192k for comparable roles.

Based on 240 similar postings.

Employer

About T. Rowe Price

T. Rowe Price is an asset management firm focused on delivering global investment management excellence and retirement services

T. Rowe Price currently has 35 open roles on FindRole.

Listed pay typically runs $121,000–$206,000 across 35 roles with salary data.

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View all roles at T. Rowe Price

At a glance

TL;DR · Lead Software Engineer, Native Mobile AI Engineering

The Lead Software Engineer (Native Mobile AI Engineering) joins the mobile organization to shape how AI-enabled software engineering evolves. This role focuses on designing, building, and scaling AI-native engineering workflows to improve how native mobile applications are architected, developed, tested, and released. You will translate business requirements into technical designs, build agentic AI workflows for code generation and test case validation, and modernize development practices for iOS and Android. Key responsibilities include establishing spec-driven engineering, managing prompt libraries, and integrating tools like GitHub, CI/CD pipelines, Jira, Confluence, and Figma. You will utilize technologies including Swift, SwiftUI, Kotlin, Jetpack Compose, and Python. The role solves the technical challenge of accelerating the path from design intent to production-ready software through automated, AI-assisted engineering systems and human-in-the-loop quality controls.

What you'll do

  • Design and build agentic AI workflows to improve technical analysis, code generation, and test case validation.
  • Lead the technical execution of native mobile domains by translating business requirements into scalable engineering designs.
  • Apply AI across the software development lifecycle to improve engineering quality, speed, and maintainability.
  • Develop reusable engineering assets including prompt libraries, agent instructions, and structured technical specification standards.
  • Modernize mobile development practices by establishing spec-driven engineering workflows for iOS and Android.
  • Integrate AI platforms and tools like GitHub and CI/CD pipelines into repeatable development workflows.
  • Pilot and scale AI-enabled engineering capabilities across native mobile teams to improve software observability and telemetry.
  • Define best practices for safe, scalable, and effective AI adoption within the enterprise software engineering environment.

What we're looking for

  • 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.

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