Senior AI Software Engineer — T. Rowe Price Labs

T. Rowe Price • Baltimore, MD

10d • $121,000 - $258,000 • Hybrid

About The Position

T. Rowe Price Labs’ AI Engineering team is hiring a Senior Software Engineer to build high-impact AI products in its New York City office or at its Harbor Point location in Baltimore, Maryland. The role works collaboratively with engineers, product owners, and business partners to develop AI products with broad use across the firm.

The engineer independently designs, builds, and scales production-grade AI agents and intelligent systems to solve complex business problems. The role leads technical workstreams, incubates AI products, evaluates emerging technologies, and partners with business-aligned technology teams to support adoption at scale. It requires hands-on software engineering and practical AI experience, a product mindset, ownership of complex and ambiguous problems, mentoring, and contributions to the engineering practices that guide AI development at T. Rowe Price.

The position is eligible for hybrid work, with up to three days per week from home. Base salary ranges vary by location: $121,000–$206,000 for Maryland, Colorado, Washington, and remote workers; $133,000–$227,000 for Washington, D.C.; and $151,000–$258,000 for New York and California. Placement depends on relevant experience and skills. Employees may also be eligible for a discretionary bonus based on company and individual performance.

Requirements

• Bachelor’s or master’s degree 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.
• 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 passion for staying current with the evolving AI engineering landscape.
• FINRA licenses are not required and will not be supported for this role.

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 address complex or ambiguous problems, evaluate approaches, and translate 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 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 solve complex technical problems.
• Own technical debt and continuously improve system quality, reliability, and maintainability.
• 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, 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 clearly 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
• 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

What This Job Offers

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