Senior AI Software Engineer – Production-Grade AI Agents

T Rowe Price; Baltimore (MD); Hybrid; USD 121,000 - 206,000; Full time

Benefits offered by this job

Hybrid work schedule

Annual bonus eligibility

Competitive compensation

Job summary

T. Rowe Price Labs is seeking a Senior Software Engineer to design, build, and scale production-grade AI agents and intelligent systems. You will lead technical workstreams, mentor engineers, and collaborate with product and business teams across the firm.

You will own end-to-end AI solutions, evaluate models and tooling, and contribute to shared patterns that speed development while ensuring reliability and security. This role offers hybrid work with on-site collaboration in Baltimore or NYC.

Qualifications

• BS or MS in Computer Science or related field with 5+ years of professional software engineering experience.
• Hands-on experience with Python/Java/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.

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.
• 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.

Skills

Python

Java

JavaScript/TypeScript

AI engineering

LLMs / AI frameworks

Cloud-native

Observability

Automation testing

Mentoring

Code reviews

Education

BS or MS in Computer Science or related field

Tools

APIs

LLMs

AI development frameworks

Job description

T. Rowe Price Labs is seeking a Senior Software Engineer to design, build, and scale production-grade AI agents and intelligent systems. You will lead technical workstreams, mentor engineers, and collaborate with product and business teams across the firm.

You will own end-to-end AI solutions, evaluate models and tooling, and contribute to shared patterns that speed development while ensuring reliability and security. This role offers hybrid work with on-site collaboration in Baltimore or NYC.