Lead AI Software Engineer – Hybrid NYC

🕒 May 11

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T. Rowe Price

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

T. Rowe Price is a premiere global asset management organization, actively investing in opportunities to help people thrive in an evolving world.

📋 Description

• 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, helping raise 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.

🎯 Requirements

• 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, including experience leading technical delivery across teams or major initiatives. • 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-solving, 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.

🏖️ Benefits

• Competitive compensation • Annual bonus eligibility • A generous retirement plan • Hybrid work schedule • 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