Senior AI Full-Stack Engineer | Hybrid (Investments Tech)

T. Rowe Price; Washington (District of Columbia); Hybrid; USD 133,000 - 227,000; Full time

Benefits offered by this job

Hybrid work schedule

Competitive compensation

Annual bonus eligibility

Health benefits

Job summary

T. Rowe Price is seeking a Senior AI Engineer to design, develop, and deploy autonomous AI systems within Investments Technology. You will collaborate across squads to scale responsible AI solutions, with a split onsite hybrid setup between Baltimore and Washington DC.

The role emphasizes building agent-based workflows, promoting engineering excellence, and advancing AI platforms. Strong background in cloud, ML, and financial domains is valued.

Qualifications

• BS or MS in Computer Science or related technical field, or equivalent experience; 5+ years in OO languages.
• Hands-on experience building LLM-powered or agent-based systems in production.
• Experience with cloud-native architectures (AWS, Azure) and containerized microservices.
• Strong analytical and problem-solving abilities with quality-focused mindset.
• Commitment to automated testing, code reviews, and continuous delivery.

Responsibilities

• Design, build, test, and deploy AI agents and intelligent systems in cloud-based architectures.
• Collaborate with stakeholders to develop agent-driven workflows that automate complex processes.
• Champion engineering excellence with best practices in AI development and CI/CD.
• Contribute to projects on agent orchestration, prompt engineering, and evaluation frameworks.
• Manage technical debt and drive improvements in AI platforms and infrastructure.

Skills

Java/Python/JavaScript

LLM-powered systems

Cloud-native architectures

Containerized microservices

Automation & CI/CD

Analytical problem solving

Code reviews

Financial markets knowledge

Education

BS or MS in CS or related field

Tools

AWS

Azure

Kubernetes

Bedrock/AgentCore/OpenAI Codex

Job description

T. Rowe Price is seeking a Senior AI Engineer to design, develop, and deploy autonomous AI systems within Investments Technology. You will collaborate across squads to scale responsible AI solutions, with a split onsite hybrid setup between Baltimore and Washington DC.

The role emphasizes building agent-based workflows, promoting engineering excellence, and advancing AI platforms. Strong background in cloud, ML, and financial domains is valued.