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

T. Rowe Price • Baltimore, NY

1d • Hybrid

About The Position

In this role, you will design, develop, and deploy autonomous AI systems as part of T. Rowe Labs’ AI Engineering team. You will collaborate in cross-functional squads, contribute to the Build-Operate-Transfer process, and help scale responsible AI solutions across the enterprise. 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.

Requirements

• 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.
• Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States (e.g., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant work status).

Nice To Haves

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

Responsibilities

• 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.
• 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.

Benefits

• Competitive compensation
• Annual bonus eligibility
• A generous retirement plan
• Hybrid work schedule
• Health and wellness benefits, including online therapy
• Paid time off for vacation, illness, medical appointments, and volunteering days
• Family care resources, including fertility and adoption benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level