Senior AI Software Engineer
T. Rowe PriceAbout the role
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 Summary
Positions are available in our New York City office or at our brand-new AI Engineering squad in Harbor Point, Baltimore, MD. Both locations offer the opportunity to collaborate with top talent, drive innovation, and make a real impact in asset management.Â
Design, develop, and deploy autonomous AI systems as part of T. Rowe Labs’ AI Engineering team. Collaborate in cross-functional squads, contribute to the Build-Operate-Transfer process, and help scale responsible AI solutions across the enterprise.Â
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.
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.
Qualifications
Required:
BS or MS in Computer Science or a related technical field (or equivalent experience), with 5+ years of professional development experience in an object-oriented language (Java, Python, or JavaScript preferred).
Hands-on experience with cloud-native architectures (AWS, Azure), containerized microservices, and agent frameworks.
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.
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