Education: Bachelor's degree or related field
Experience: 5+ years
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.
- 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.
- 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.
- 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 building LLM-powered or agent-based systems in production.
- Hands-on experience with cloud-native architectures (AWS, Azure), containerized microservices, and agent frameworks.
- Commitment to quality via automated testing, code reviews, and continuous delivery.
- Results-driven with a passion for learning and staying current with emerging technologies.
- 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 partner, HireVue. Take time to read all instructions carefully before responding.
Some questions may require you to respond within a set time limit, or with limited retakes. You can use this opportunity to tell us more about your background and interest than we can learn from a resume alone. Estimated Time Commitment: 20-30 minutes
This role is eligible for hybrid work, with up to three days per week from home.
$121,000.00 - $206,000.00 for the location of: Maryland, Colorado, Washington and remote workers $133,000.00 - $227,000.00 for the location of: Washington, D.C. $151,000.00 - $258,000.00 for the location of: New York, California
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This posting was published by T. Rowe Price on their own careers system and is shown here with a direct link to apply there. Employers: for corrections or removal, contact jobs@veritahire.com.