Lead AI Software Engineer- (Hybrid Baltimore, MD)

Role Summary Lead Software Engineer – AI Engineering team at T. Rowe Price Labs. Drive the design, delivery, and scaling of production‑grade AI systems across the firm. Responsibilities Lead the design, development, deployment, and evolution of production‑grade AI agents and intelligent systems within modern cloud‑native architectures. Provide technical leadership and mentorship to engineers across squads, raising the bar on architecture, engineering quality, and execution. 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. Work closely with engineers, product owners, and senior partners to shape ambiguous problems into scalable AI solutions that deliver measurable business value. 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. Champion engineering excellence through strong software design, code quality, automated testing, continuous integration, and continuous delivery practices. Ensure AI systems are built with measurable quality, production readiness, operational observability, and appropriate safety controls. Oversee technical debt and drive continuous improvement across AI platforms, services, and development standards. Identify and pursue opportunities to apply AI in ways that accelerate workflows, improve decision‑making, and create scalable business impact across the firm. Engage directly with business stakeholders, product owners, and senior partners to understand priorities, shape solution direction, and align technical decisions to business outcomes. Apply strong product and engineering judgment to balance innovation, scalability, risk, and long‑term maintainability. Translate complex business needs into robust, scalable technical solutions that support both immediate value delivery and broader enterprise adoption. Qualifications BS or MS in Computer Science or a related technical field, or equivalent practical experience. 8+ years of progressive software engineering experience developing applications in object‑oriented languages such as Java, Python, or JavaScript. Extensive hands‑on experience architecting and delivering cloud‑native solutions using AWS or equivalent, containerized microservices, and modern software delivery practices. Experience building or leading development of AI‑enabled systems, intelligent workflows, or agentic applications in production or near‑production environments. Strong familiarity with modern AI engineering patterns such as agent orchestration, tool integration, retrieval‑based systems, evaluation approaches, monitoring, or guardrails. Exceptional analytical, problem‑sizing, and system design skills, with a proven ability to lead teams through complex technical challenges. Strong communication and influence skills, with the ability to work effectively across engineering, product, and business stakeholders. Demonstrated commitment to engineering excellence through setting and upholding standards for automated testing, code reviews, observability, and continuous delivery. Results‑oriented leader with a passion for mentoring others, fostering innovation, and operating effectively in a rapidly evolving technology landscape. Preferred: Experience contributing to shared platform capabilities, workflow systems, retrieval‑based services, or other reusable engineering components. Preferred: Understanding of financial markets, asset management, or financial instruments. Benefits and Compensation Competitive base salary ranges vary by location: $145,000–$247,000 (Maryland, Colorado, Washington, remote); $159,000–$272,000 (Washington, D.C.); $181,000–$309,000 (New York, California). Placement within the range is based on relevant experience and skills. Base salary is only one component of total compensation; discretionary bonuses may be awarded based on company and individual performance. Hybrid work schedule – up to three days per week from home. Health and wellness benefits, including online therapy. Paid time off for vacation, illness, medical appointments, and volunteering days. Family care resources, including fertility and adoption benefits. Generous retirement plan. EEO Statement 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. Work Flexibility This role is eligible for hybrid work, with up to three days per week from home. #J-18808-Ljbffr