Senior AI Software Engineer — T. Rowe Price Labs

T. Rowe Price • New York, NY

16h • Hybrid

About The Position

As a Senior Software Engineer on T. Rowe Price Labs' AI Engineering team, you will independently design, build, and scale production-grade AI agents and intelligent systems that solve complex business problems. You will lead technical workstreams, incubate new AI products, experiment with emerging technologies, and partner with business-aligned technology teams to enable broader adoption. This hands-on role calls for strong software fundamentals, practical AI engineering experience, and a product mindset. You will own complex and ambiguous problems, mentor engineers, and contribute to the patterns and practices shaping AI engineering at T. Rowe Price.

The role is available in the New York City office or with the AI Engineering squad in Harbor Point, Baltimore, Maryland. It is eligible for hybrid work, with up to three days per week from home. The position supports the Build-Operate-Transfer model by preparing successful AI solutions for long-term ownership and scale by business-aligned technology teams.

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 modern 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.
• A product mindset, strong learning agility, and passion for staying 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 the 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.
• 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 across 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 others solve complex technical problems.
• Own technical debt and continuously improve system quality, reliability, and maintainability.
• Rapidly evaluate emerging AI technologies and determine when and how they can deliver meaningful business value.
• Prepare successful AI solutions for long-term ownership and scale by business-aligned technology teams through the Build-Operate-Transfer model.
• Clearly communicate technical designs, decisions, and trade-offs, balancing innovation, business value, scalability, risk, fiscal responsibility, and long-term maintainability.

Benefits

• Competitive compensation
• Discretionary annual bonus eligibility
• Generous retirement plan
• Employee stock purchase plan with matching contributions
• Hybrid and flexible work opportunities
• Health care benefits, including medical, dental, and vision insurance
• Health and wellness benefits, including online therapy, fitness reimbursement, and an Employee Assistance Program
• Paid time off for vacation, illness, medical appointments, and volunteering days
• Family care resources, including fertility and adoption benefits
• Tuition assistance

What This Job Offers

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