T. Rowe Price
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.
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.
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.
FINRA Requirements FINRA licenses are not required and will not be supported for this role. Work Flexibility This role is eligible for hybrid work, with up to three days per week from home. 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
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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.
FINRA Requirements FINRA licenses are not required and will not be supported for this role. Work Flexibility This role is eligible for hybrid work, with up to three days per week from home. 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
.
#J-18808-Ljbffr