Sr. AI Software Engineer (Hybrid- Baltimore)

Role Summary

Positions are available in our New York City office or with our AI Engineering squad in Harbor Point, Baltimore, MD. In either location, you will join a collaborative team of engineers, product owners, and business partners building high-impact software products with leverage across the firm.

As a Senior Software Engineer on T. Rowe Price Labs’ AI Engineering team, you will design, build, and scale modern, production-grade applications and services that help accelerate innovation across the enterprise. Working in a Build-Operate-Transfer model, you will help incubate new products, harden them for production, and partner closely with business-aligned technology teams to enable broader adoption at scale.

This role is well suited for engineers with strong software fundamentals, cloud and platform experience, and a product mindset. What matters most is the ability to solve complex problems, build reliable systems, collaborate across disciplines, and contribute to the standards and practices that shape the next generation of software engineering at T. Rowe Price.

Responsibilities

• Design, build, test, deploy, and support modern software applications and services within cloud-native architectures.

• Partner with engineers, product owners, and business stakeholders to translate complex needs into scalable technical solutions that deliver measurable business value.

• Contribute to the incubation of new products by rapidly validating ideas, building robust implementations, and preparing successful solutions for production adoption.

• Help execute the Build-Operate-Transfer model by collaborating with business-aligned technology teams to transition proven capabilities for long-term ownership and scale.

• Contribute to reusable shared capabilities and engineering components that improve speed, quality, and consistency across teams.

• Champion engineering excellence through strong software design, automated testing, code quality, continuous integration, and continuous delivery practices.

• Build systems with measurable quality, production readiness, operational observability, and appropriate safety and control mechanisms.

• Manage technical debt and drive continuous improvement across platforms, services, and developer workflows.

• Identify opportunities to apply emerging technologies in ways that accelerate workflows, unlock business value, and improve operational efficiency.

Business Knowledge

• Collaborate closely with business stakeholders and product owners to understand priorities, shape solution direction, and deliver practical outcomes.

• Bring a strong product mindset to technical decision-making, balancing innovation, scalability, risk, and long-term maintainability.

• Operate effectively in a highly collaborative environment where engineers work side by side with cross-functional partners to solve meaningful business problems.

Qualifications

Required:

• Bachelor’s or Master’s degree in Computer Science or a related technical field, or equivalent practical experience.

• 5+ years of professional software engineering experience building applications in an object-oriented language such as Java, Python, or JavaScript.

• Hands-on experience with cloud-native architectures, containerized microservices, and modern software delivery practices.

• Experience building or contributing to production or near-production applications, platforms, or intelligent workflows in complex enterprise environments.

• Familiarity with modern engineering patterns such as API integration, event-driven services, observability, monitoring, and scalable system design.

• Strong analytical, problem-solving, and software design skills.

• Commitment to engineering quality through automated testing, code reviews, observability, and continuous delivery.

• Strong collaboration and communication skills, with the ability to work across engineering and business teams to shape effective solutions.

• A product mindset, learning agility, and comfort operating in a fast-evolving technology landscape.

Preferred:

• Experience contributing to reusable platform components or shared engineering capabilities.

• Exposure to AI-enabled systems, intelligent workflows, or emerging automation technologies.

• Experience with React and/or Angular.

• Understanding of financial markets, asset management, or financial instruments.

WHAT TO EXPECT AFTER APPLYING
1. You will receive an email and text message to answer a few questions to