Lead AI Full Stack Software Engineer – Investments Technology

Role Summary

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.

Responsibilities

• Lead the design, development, and deployment of AI systems, providing technical mentorship and oversight to engineering squads.
• Collaborate in cross-functional squads to ensure responsible AI solutions are scaled across the enterprise.
• Partner with business stakeholders to develop agent-driven workflows that automate complex processes and generate actionable insights.
• Champion engineering excellence by establishing and enforcing best practices in AI development, continuous integration, and code quality.
• Oversee projects on agent orchestration, prompt engineering, and real-time, data-driven automation.
• Prioritize and manage technical debt, driving ongoing improvements in AI platforms and infrastructure.
• Proactively identify and pursue opportunities to apply AI agents for increased business value and operational efficiency.

Business Knowledge:

• Engage directly with business stakeholders to thoroughly understand organizational needs, strategic priorities, and evolving market demands.
• Make informed technology decisions that align with the firm’s long-term strategy, organizational objectives, and fiscal responsibility.
• Leverage deep business knowledge to translate complex requirements into robust, scalable technology solutions that drive measurable business value.

Qualifications

Required:

• BS or MS in Computer Science or a related technical field (or equivalent experience), with 8+ years of progressive professional development experience in Python, including demonstrated leadership of engineering teams.
• Extensive hands-on expertise in architecting and delivering cloud-native solutions using AWS or Azure, containerized microservices, and agent frameworks.
• Hands-on experience building LLM-powered or agent-based systems in production.
• Exceptional analytical and problem-solving skills, with a proven ability to guide teams through complex technical challenges.
• Able to communicate with and influence both business stakeholders and technical teams.
• Demonstrated commitment to engineering excellence through setting and upholding standards for automated testing, code reviews, and continuous delivery.
• Results-oriented leader with a passion for mentoring others, fostering innovation, and staying at the forefront of 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.

Base Salary Ranges

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

$145,000.00 - $247,000.00 for the location of: Maryland, Colorado, Washington and remote workers
$159,000.00 - $272,000.00 for the location of: Washington, D.C.
$181,000.00 - $309,000.00 for the location of: New York, California

Placement within the range provided above is based on the individual’s relevant experience and skills for the role.  Base salary is only one component of our total compensation package.  Employees may be eligible for a discretionary bonus, which is determined upon company and individual performance.

Commitment to Diversity, Equity, and Inclusion

At T. Rowe Price, our associates are our greatest asset. We thrive because our company culture is built on inclusion and because we sustain a work environment where associates can bring their best selves to work every day. The backgrounds, talents, and experiences of our global associates allow us to embrace new ideas and perspectives that move our business priorities forward and enable us to deliver strong client outcomes. Here, you can expect equal opportunity and fair and consistent treatment for all. 

Benefits

T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We believe our continued success depends upon the equal treatment of all associates and applicants for employment without discrimination on the basis of race, religion, creed, color, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by country, federal, state, or local law.