Lead the design, development, and deployment of production-grade agentic AI systems embedded directly into the investment lifecycle as part of the Investments Technology team. Work in cross-functional squads across Investments, Investments Technology, and TRP Labs to architect, build, and operationalize autonomous AI agents that interact with proprietary financial data, enterprise systems, and investment professionals. AI agents will encompass investment research, quantitative analysis, portfolio management, and trading business functions. Help define the technical standards, architectural patterns, governance frameworks, and engineering discipline required to scale AI responsibly across a global asset management platform.
This role could have the opportunity for split onsite hybrid between our Baltimore and Washington DC locations.
Requirements - US Citizenship
- BS or MS in Computer Science or a related technical field (or equivalent experience)
- 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
