Lead 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 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 ag [... source excerpt omitted ...] o 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, a [... source excerpt omitted ...] 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 object-oriented languages (such as Java, Python, or JavaScript), including demonstrated leadership of engineering teams. Extensive hands-on expertise in architecting