Sr. AI Full Stack Software Engineer- Investments Technology

T. Rowe Price

Hybrid

Quick summary

Work type
Hybrid
Location
Baltimore, MDWashington, DC
Salary
$121,000–$206,000 / yr
Posted
3 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $200k
This role $164k
$107k most similar roles pay here $254k

This role pays less than 74% of similar roles. Most pay $163,312–$235,750 — the shaded band above. At the midpoint, this role pays about $164k versus about $200k for comparable roles.

Based on 240 similar postings.

Employer

About T. Rowe Price

T. Rowe Price is an asset management firm focused on delivering global investment management excellence and retirement services

T. Rowe Price currently has 29 open roles on FindRole.

Listed pay typically runs $121,000–$206,000 across 29 roles with salary data.

Most-posted roles

View all roles at T. Rowe Price

At a glance

TL;DR · Sr. AI Full Stack Software Engineer- Investments Technology

Join the Investments Technology team as a senior AI engineer, designing and deploying autonomous AI systems to scale responsible solutions across the enterprise. You will collaborate with cross-functional squads to build cloud-based intelligent systems using modern architectures, championing engineering excellence through best practices in continuous integration and code quality. Responsibilities include managing technical debt, contributing to agent orchestration projects, and driving improvements in AI platforms while translating business requirements into effective technology solutions. Ideal candidates have a BS or MS in Computer Science with 5+ years of experience in Java, Python, or JavaScript, hands-on expertise with cloud-native architectures like AWS or Azure, and strong analytical skills. Experience in financial markets or quantitative research is preferred, as is a commitment to quality through automated testing and continuous delivery.

What you'll do

  • Design and deploy AI agents for cloud-based architectures.
  • Apply best practices in continuous integration and code quality for AI projects.
  • Contribute to agent orchestration, prompt engineering, and real-time automation initiatives.
  • Manage technical debt and improve AI platforms and infrastructure continuously.
  • Identify opportunities to enhance business value through AI applications.

What we're looking for

  • BS or MS in Computer Science or related field with 5+ years of professional development experience.
  • Hands-on experience with cloud-native architectures, containerized microservices, and agent frameworks.
  • Strong analytical skills and commitment to quality through automated testing and continuous delivery.
  • Experience designing, building, testing, and deploying AI agents for modern cloud-based systems.
  • Proactive approach to identifying opportunities for applying AI to increase business value and efficiency.

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