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# Full Stack Software Engineer (T. Rowe Price AI Lab)

- **Company:** T. Rowe Price
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $41,600.0 - $62,400.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Multitier Architecture, Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Cloud Engineering, Software Quality, Code Review, Continuous Delivery, Continuous Integration, Python (Programming Language), Object-Oriented Software Development, ReactJS, Multi-Agent Systems, Prompt Engineering, Technical Debt, AI Platforms, AngularJS, Information Technology, Data Analytics, Microservices
- **Published:** August 15, 2026
- **Apply:** https://troweprice.wd5.myworkdayjobs.com/TRowePrice/job/New-York-NY/Full-Stack-Software-Engineer--T-Rowe-Price-AI-Lab-_83089

## About the Role

We are looking for candidates who are passionate about AI and its applications. While hands-on professional AI experience is a plus, it is not required., * BS or MS in Computer Science or a related technical field (or equivalent experience), with 2+ years of professional development experience in an object-oriented language (Python, JavaScript or Java preferred).

 * Hands-on experience with cloud-native architectures (AWS, Azure), containerized microservices, and agent frameworks.
 * Demonstrated passion and knowledge of AI required (personal projects, education, etc) while professional experience is preferred but not required
 * Strong analytical and problem-solving abilities.
 * Commitment to quality via automated testing, code reviews, and continuous delivery.
 * Results-driven with a passion for learning and staying current with emerging technologies.

Preferred:

 * Experience with React and/or Angular
 * Solid understanding of financial markets and financial instruments

## Description

You will collaborate in cross-functional squads, contribute to the Build-Operate-Transfer process, and help scale responsible AI solutions across the enterprise., * Design, build, test, and deploy AI agents and intelligent systems for modern cloud-based, n-tier architectures.

 * Partner with business stakeholders to develop agent-driven workflows that automate complex processes and generate actionable insights.
 * Champion engineering excellence by applying best practices in AI development, continuous integration, and code quality.
 * Contribute to projects on agent orchestration, prompt engineering, and real-time, data-driven automation.
 * Manage technical debt and drive ongoing improvements in AI platforms and infrastructure.
 * Proactively seek opportunities to apply AI agents for increased business value and operational efficiency.

Business Knowledge

 * Collaborate directly with business stakeholders to understand needs and priorities.
 * Make technology decisions that support current and future business objectives and fiscal responsibility.
 * Translate business requirements into effective technology solutions.


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