Title: AI Software Engineer / AI Agent Engineer

Location: NYC or Baltimore, MD (2 days per week)

Duration: Full Time

Work Authorization: USC or GC

We identify and actively invest in opportunities to helppeople thrive in an evolving world. As a premier global asset managementorganization with more than 85 years of experience, we provide investmentsolutions and a broad range of equity, fixed income, and multi-assetcapabilities to individuals, advisors, institutions, and retirement plansponsors. We take an active, independent approach to investing, offering ourdynamic perspective and meaningful partnership so our clients can feel moreconfident.

We believe doing the right thing for our clients and ourassociates is good business. With a career at the firm, you can expectopportunities to create real impact at work and in your community. You'll enjoyresources to support your career path, as well as compensation, benefits, andflexibility to enrich your life. Here, you'll find a collaborative culture thatrespects and values differences and colleagues who share a spirit ofgenerosity.

Join us for the opportunity to grow and make a difference inways that matter to you.

Role Summary

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

As a Senior Software Engineer on AIEngineering team, you will independently design, build, and scaleproduction-grade AI agents and intelligent systems that solve complex businessproblems. You will lead technical workstreams, incubate new AI products,experiment with emerging technologies and innovative ideas, and partner withbusiness-aligned technology teams to enable broader adoption at scale.

This is a hands-on role for an experienced engineer withstrong software fundamentals, practical AI engineering experience, and aproduct mindset. You will take ownership of complex and ambiguous problems,mentor other engineers, and contribute to the patterns and practices that shapeAI engineering at T. Rowe Price.

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 take control of complex or ambiguous problems, evaluate alternative 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 across models, prompts, context, tools, latency, cost, reliability, security, and maintainability.
Contribute to 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 the quality, reliability, and maintainability of the systems you build.
Rapidly evaluate emerging AI technologies and determine when and how they can be applied to 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.

Business Knowledge

Work directly with business stakeholders and product owners to understand priorities, shape solution direction, and deliver measurable outcomes.
Translate complex business needs into effective technology solutions and clearly communicate technical trade-offs.
Balance innovation, business value, scalability, risk, fiscal responsibility, and long-term maintainability when making technical decisions.

Qualifications

Required:

BS or MS in Computer Science or a related technical field, or equivalent practical experience, with 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 rapidly evolving AI engineering landscape.

Preferred:

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

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