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Lead AI Software Engineer – Hybrid NYC
T. Rowe PriceLead Software Engineer at T. Rowe Price Labs’ AI Engineering team, designing and delivering production-grade AI systems.
Posted 5/12/2026full-timeNew York City • Maryland, New York • 🇺🇸 United StatesSenior💰 $145,000 - $309,000 per yearWebsite
Tech Stack
Tools & technologiesAWSCloudJavaJavaScriptMicroservicesPython
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI agentscloud-native architectureobject-oriented programmingJavaPythonJavaScriptAWSmicroservicesautomated testingcontinuous integration
Soft Skills
technical leadershipmentorshipanalytical skillsproblem-solvingcommunication skillsinfluence skillsresults-orientedinnovationteam leadershipadaptability