Senior AI Engineer – Investments Tech (Hybrid)

T. Rowe Price; Baltimore (MD); Hybrid; USD 121,000 - 258,000; Full time

Job summary

T. Rowe Price is seeking an experienced AI engineer to design, develop, and deploy autonomous AI systems within the Investments Technology team.

You will collaborate with Investments, Investments Technology, and TRP Labs to scale responsible AI across the enterprise, with a potential split onsite hybrid between Baltimore and Washington DC. The role emphasizes building AI agents, applying CI/CD best practices, and partnering with stakeholders to translate needs into scalable technology solutions.

Qualifications

• BS or MS in Computer Science or related field, or equivalent experience.
• 5+ years of professional development in an OO language (Java, Python, or JavaScript).
• Hands-on experience building LLM-powered or agent-based systems in production.
• Cloud-native architectures (AWS, Azure) and containerized microservices.
• Commitment to quality via automated testing, code reviews, and continuous delivery.
• Experience with agent frameworks and modern AI development practices.

Responsibilities

• Design, build, test, and deploy AI agents and intelligent systems.
• Collaborate with business stakeholders to translate needs into agent-driven workflows.
• Champion engineering excellence with CI/CD and code quality practices.
• Contribute to projects on agent orchestration, prompt engineering, and evaluation frameworks.
• Manage technical debt and drive AI platform improvements.
• Identify opportunities to apply AI agents for business value.

Skills

OO language experience

LLM/agent systems

Cloud-native architectures

Containerized microservices

Automated testing & CD

Analytical problem-solving

Education

BS/MS in CS or related field

Tools

AWS

Azure

Agent frameworks

CI/CD tooling

Job description

T. Rowe Price is seeking an experienced AI engineer to design, develop, and deploy autonomous AI systems within the Investments Technology team.

You will collaborate with Investments, Investments Technology, and TRP Labs to scale responsible AI across the enterprise, with a potential split onsite hybrid between Baltimore and Washington DC. The role emphasizes building AI agents, applying CI/CD best practices, and partnering with stakeholders to translate needs into scalable technology solutions.