Sr. AI Full Stack Software Engineer- Investments Technology

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. 

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.  

Join us for the opportunity to grow and make a difference in ways that matter to you. 

Role Summary

Design, develop, and deploy autonomous AI systems as part of the Investments Technology team. Collaborate in cross-functional squads across Investments, Investments Technology, and TRP Labs to help scale responsible AI solutions across the enterprise. 

This role could have the opportunity for split onsite hybrid between our Baltimore and Washington DC locations.

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, real-time data-driven automation, and evaluation frameworks.
• 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:

• Hands-on experience building LLM-powered or agent-based systems in production.
• Experience with retrieval-augmented generation (RAG), vector databases, MCP servers, agent orchestration frameworks, prompt evaluation and iteration, model benchmarking, and performance testing.
• Experience with Amazon Bedrock AgentCore, AWS Kiro, and OpenAI Codex.
• Experience in asset management, financial markets, or quantitative research environments.
• Solid understanding of financial markets, financial instruments, and financial datasets.

WHAT TO EXPECT AFTER APPLYING
1. You will receive an email and text message to answer a few questions to verify your eligibility. If you apply for multiple jobs, you will receive separate invitations for each role and will need to respond to each. Estimated Time Commitment: 3-5 minutes

2. If you are eligible, you will be asked to record video responses to introductory questions with our vendor