Lead AI Full Stack Software Engineer - Investments Technology

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.

Requirements

• Required:
• BS or MS in Computer Science or a related technical field (or equivalent experience), with 8+ years of progressive professional development experience in object-oriented languages (such as Java, Python, or JavaScript), 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.
• 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:
• 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.
• 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 locat

Benefits

Additional Information

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, y ou can expect opportunities to create real impact at work and in your community. Y ou'll enjoy resources to support your career path, a s well as compensation , benefits , and flexibility to enrich your life. Here, you'll find a collaborative culture that respect s and valu e s differences and colleagues who share a spirit of generosity . Join us for the opportunity to g row and make a difference in ways that matter to you . 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.

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