Lead AI Systems Engineer for Investment Tech

GR8 People, Inc.; Washington (District of Columbia); Hybrid; USD 159,000 - 272,000; Full time

Job summary

T. Rowe Price seeks a leadership role to design, build, and deploy production-grade AI agents embedded in the investment lifecycle.

You will work across Investments, Investments Technology, and TRP Labs to architect and operate autonomous AI agents interacting with proprietary data and enterprise systems. This hybrid role offers collaboration across global teams, with a focus on governance, engineering discipline, and scalable AI practices.

Qualifications

• 8+ years of professional experience in OO languages (Java, Python, or JavaScript) with leadership of engineering teams.
• Hands-on expertise architecting cloud-native solutions using AWS or Azure with containerized microservices.
• Strong analytical and problem-solving skills to guide teams through complex technical challenges.
• Excellent communication with business stakeholders and technical teams.
• Commitment to engineering excellence through automated testing, code reviews, and continuous delivery.

Responsibilities

• Design, develop, and deploy AI systems with mentoring for engineering squads.
• Collaborate in cross-functional squads to scale AI solutions across the enterprise.
• Partner with stakeholders to create agent-driven workflows and actionable insights.
• Establish best practices for AI development, CI, and code quality.
• Oversee agent orchestration, prompt engineering, and real-time automation.
• Prioritize technical debt and drive improvements to AI platforms.

Skills

Leadership

OO languages

Cloud architecture

Containerized microservices

CI/CD

Communication

Mentoring

Engineering standards

Education

BS/MS in Computer Science or related field

Tools

AWS

Azure

Containerized microservices

Agent frameworks

Job description

T. Rowe Price seeks a leadership role to design, build, and deploy production-grade AI agents embedded in the investment lifecycle.

You will work across Investments, Investments Technology, and TRP Labs to architect and operate autonomous AI agents interacting with proprietary data and enterprise systems. This hybrid role offers collaboration across global teams, with a focus on governance, engineering discipline, and scalable AI practices.