Senior AI Software Engineer — T. Rowe Price Labs

T. Rowe Price • New York, NY

10d • Hybrid

About The Position

T. Rowe Price Labs’ AI Engineering team is hiring a Senior Software Engineer to build high-impact AI products in either its New York City office or Harbor Point, Baltimore, Maryland. The role independently designs, builds, and scales production-grade AI agents and intelligent systems to solve complex business problems. It leads technical workstreams, incubates AI products, evaluates emerging technologies, and partners with business-aligned technology teams to support broader adoption.

This hands-on position calls for strong software engineering fundamentals, practical AI engineering experience, and a product mindset. The engineer owns complex and ambiguous problems, mentors colleagues, and contributes to the patterns and practices that shape AI engineering at T. Rowe Price. The role is eligible for hybrid work, with up to three days per week from home.

Requirements

• BS or MS in Computer Science or a related technical field, or equivalent practical experience.
• At least 5 years of professional software engineering experience.
• Strong hands-on development experience in object-oriented languages such as Python, Java, or JavaScript/TypeScript.
• Hands-on experience building AI-enabled applications, intelligent workflows, or agentic systems using modern LLMs and AI development frameworks.
• Practical experience with AI engineering patterns such as agent orchestration, tool/function calling, retrieval-based systems, prompt and context engineering, structured outputs, evaluation, observability, or guardrails.
• Experience taking AI-enabled systems beyond prototypes toward production, including testing, monitoring, reliability, security, and operational considerations.
• Strong experience with cloud-native architectures, containerized microservices, APIs, and modern software delivery practices.
• Strong analytical, problem-solving, software design, and debugging skills.
• Commitment to engineering quality through automated testing, code reviews, observability, and continuous delivery.
• Ability to independently own complex technical problems and clearly communicate designs, decisions, and trade-offs.
• Product mindset, learning agility, and interest in keeping current with the evolving AI engineering landscape.

Nice To Haves

• Experience mentoring engineers or leading technical workstreams.
• Understanding of financial markets, asset management, or financial instruments.

Responsibilities

• Own end-to-end design and delivery of production-grade AI agents and intelligent systems, including architecture, implementation, testing, evaluation, deployment, observability, and production support.
• Design agentic workflows using orchestration, tool integration, retrieval-based systems, structured outputs, context management, and appropriate human-in-the-loop patterns.
• Partner with product owners and business stakeholders to understand priorities, shape solution direction, evaluate approaches, and translate complex needs into scalable AI solutions and measurable outcomes.
• Lead technical workstreams from rapid experimentation and validation through production adoption.
• Establish evaluation and testing approaches for non-deterministic AI systems, including quality metrics, regression testing, failure analysis, and production monitoring.
• Make informed engineering trade-offs involving models, prompts, context, tools, latency, cost, reliability, security, and maintainability.
• Contribute reusable AI capabilities and shared engineering patterns that improve speed, quality, and consistency across teams.
• Lead code and design reviews, mentor less-experienced engineers, and help colleagues solve complex technical problems.
• Own technical debt and continuously improve system quality, reliability, and maintainability.
• Evaluate emerging AI technologies and determine how they can deliver meaningful business value.
• Support the Build-Operate-Transfer model by preparing successful AI solutions for long-term ownership and scale by business-aligned technology teams.
• Clearly communicate technical designs, decisions, and trade-offs while balancing innovation, business value, scalability, risk, fiscal responsibility, and maintainability.

Benefits

• Competitive compensation.
• Annual bonus eligibility; discretionary bonus is determined based on company and individual performance.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior