Senior AI Engineer - Production-Grade AI Systems

T. Rowe Price Hong Kong

New York (NY)

Hybrid

USD 151,000 - 258,000

Full time

14 days+

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Benefits offered by this job

Hybrid work schedule
Annual bonus eligibility
Retirement plan

Job summary

T. Rowe Price is hiring a Senior Software Engineer for its AI Engineering team, focusing on designing and deploying production-grade AI agents and intelligent systems. You will lead technical workstreams, mentor engineers, and collaborate with product owners to scale AI solutions.

The role emphasizes practical AI engineering, instrumenting observability, and building reusable patterns across teams, with a hybrid work model and opportunities to influence cross-firm AI initiatives.

Qualifications

  • BS or MS in Computer Science or related technical field, with 5+ years of professional software engineering experience.
  • Hands-on development in Python, Java, or JavaScript/TypeScript.
  • Experience building AI-enabled applications and agentic systems using modern LLMs and AI frameworks.
  • Experience with cloud-native architectures, containers, APIs, and modern delivery practices.

Responsibilities

  • Own end-to-end design and delivery of production-grade AI agents and intelligent systems.
  • Design agentic workflows using orchestration, tool integration, and retrieval-based systems.
  • Lead technical workstreams from rapid experimentation to production adoption.
  • Establish evaluation, testing, and monitoring for non-deterministic AI systems.
  • Mentor engineers and contribute to reusable AI capabilities across teams.

Skills

Python
Java
JavaScript/TypeScript
LLM
AI engineering
Cloud-native
APIs
Testing/Observability

Education

BS/MS in Computer Science or related field

Tools

Docker
Kubernetes
APIs
CI/CD

Job description

T. Rowe Price is hiring a Senior Software Engineer for its AI Engineering team, focusing on designing and deploying production-grade AI agents and intelligent systems. You will lead technical workstreams, mentor engineers, and collaborate with product owners to scale AI solutions.

The role emphasizes practical AI engineering, instrumenting observability, and building reusable patterns across teams, with a hybrid work model and opportunities to influence cross-firm AI initiatives.

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