Senior AI Software Engineer — T. Rowe Price Labs

T. Rowe Price • Baltimore, MD

20h • Hybrid

About The Position

T. Rowe Price Labs is hiring a Senior Software Engineer for its AI Engineering team, with positions available in New York City or Harbor Point, Baltimore, Maryland. The engineer will work with engineers, product owners, and business partners to build high-impact AI products used across the firm. This hands-on role involves independently designing, building, and scaling production-grade AI agents and intelligent systems that address complex business problems. The engineer will lead technical workstreams, incubate AI products, experiment with emerging technologies, and help business-aligned technology teams adopt successful solutions at scale.

The role requires ownership of complex and ambiguous problems, mentoring other engineers, and contributing to the engineering patterns and practices used across T. Rowe Price. It also involves working directly with stakeholders to understand priorities, shape solutions, communicate technical trade-offs, and deliver measurable outcomes. The position 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 an object-oriented language 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.
• Demonstrated 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 interest in 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 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 address complex or ambiguous problems, evaluate approaches, and translate needs into scalable AI solutions.
• Lead technical workstreams from 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 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 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 business value.
• Prepare successful AI solutions for long-term ownership and scale by business-aligned technology teams, supporting the Build-Operate-Transfer model.
• Work directly with business stakeholders and product owners to understand priorities, shape solution direction, and deliver measurable outcomes.
• Translate complex business needs into technology solutions and communicate technical trade-offs.
• Balance innovation, business value, scalability, risk, fiscal responsibility, and long-term maintainability in technical decisions.

Benefits

• Competitive compensation.
• Annual bonus eligibility or discretionary bonus based on company and individual performance.
• Generous retirement plan.
• Hybrid work schedule and flexible or remote work opportunities.
• Health and wellness benefits, including medical, dental, and vision care and online therapy.
• Paid time off for vacation, illness, medical appointments, and volunteering.
• Family care resources, including fertility and adoption benefits.
• Employee stock purchase plan with matching contributions.
• Tuition assistance.
• Wellness programs, including fitness reimbursement and an Employee Assistance Program.

What This Job Offers

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