Lead AI Software Engineer - T. Rowe Price Lab (MD or NYC)

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 .

Summary Positions are available in our New York City office or with our AI Engineering squad in Harbor Point, Baltimore, MD. In either location, you will join a collaborative team of engineers, product owners, and business partners building high-impact AI products with leverage across the firm.  As a Lead Software Engineer on T. Rowe Price Labs' AI Engineering team, you will lead the architecture, design, and delivery of complex production-grade AI agents and intelligent systems. You will lead the incubation of new AI products, drive experimentation with emerging technologies and innovative ideas, and partner with business-aligned technology teams to enable broader adoption at scale.  This is a hands-on technical leadership role for someone with deep software and AI engineering expertise who enjoys solving complex and ambiguous problems, mentoring engineers, and shaping technical direction. You will guide reusable AI capabilities, influence engineering standards across teams, and help define the future of AI engineering at T. Rowe Price.

Lead the architecture, design, development, deployment, and evolution of complex production-grade AI agents and intelligent systems.   Set technical direction for AI solutions, making informed trade-offs across models, orchestration patterns, retrieval, tools, data, infrastructure, latency, cost, security, reliability, and long-term maintainability.   Lead teams through ambiguous and technically complex AI problems, from experimentation and architecture through production adoption and scale.   Define and evolve engineering standards for production AI, including evaluation, testing, observability, guardrails, failure handling, security, and responsible deployment.   Guide the development of reusable AI capabilities and shared platform components across areas such as agent orchestration, tool use, retrieval-based systems, evaluation frameworks, observability, and guardrails.   Evaluate emerging models, frameworks, tools, and AI engineering approaches and provide technical direction on when and how they should be adopted.   Provide hands-on technical leadership and mentorship to engineers, raising the bar on architecture, engineering quality, problem solving, and execution.   Lead technical design and code reviews and help resolve complex engineering challenges across teams and systems.   Drive the Build-Operate-Transfer model by incubating new AI products, hardening them for production, and partnering with business-aligned technology teams to transition proven solutions for long-term ownership and scale.   Ensure AI systems achieve measurable quality, production readiness, operational observability, appropriate safety controls, and sustainable total cost of ownership.   Identify opportunities for shared AI platforms and abstractions, balancing reusable enterprise