Sr. AI Full Stack Software Engineer- Investments Technology

T. Rowe Price; Washington; Hybrid; USD 121,000 - 206,000; Full time

Benefits offered by this job

Hybrid work model

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 cross-functional squads across Investments, Investments Technology, and TRP Labs to scale responsible AI solutions across the enterprise. The role offers split onsite hybrid work between Baltimore and Washington DC, with responsibilities spanning agent orchestration, prompt engineering, and real-time data-driven automation in

Qualifications

• BS or MS in Computer Science or related field, with professional development experience.
• Hands-on experience with LLM-powered or agent-based systems in production.
• Experience with cloud-native architectures and containerized microservices.
• Strong analytical and problem-solving abilities.
• Commitment to quality via automated testing and CD/CI.

Responsibilities

• Design, build, test, and deploy AI agents and intelligent systems.
• Collaborate with stakeholders to automate processes and insights.
• Promote engineering excellence with CI/CD and code quality.
• Contribute to agent orchestration, prompt evaluation, and benchmarking.
• Manage technical debt and improve AI platforms and infrastructure.
• Seek opportunities to apply AI for business value and efficiency.

Skills

5+ years exp

LLM systems

Cloud AWS/Azure

Microservices

CI/CD

Problem solving

Education

BS in CS

MS in CS

Tools

AWS

Azure

Kubernetes

Bedrock AgentCore

OpenAI Codex

Job description

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 building LLM-powered or agent-based systems in production.
• 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:

• 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

FINRA Requirements

FINRA licenses are not required and will not be supported for this role.

Work Flexibility

This role is eligible for hybrid work, with up to three days per week from home.

Base Salary Ranges

Please review the job posting for the location of this specific opportunity.

$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

Placement within the