Senior AI Software Engineer, Investments Technology

T. Rowe Price

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Baltimore, MDWashington, DC
Salary
$121,000–$206,000 / yr
Employment
Full-time
Posted
22 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $186k
This role $164k
$108k $240k
below market most similar roles pay here above market

This role pays less than 65% of similar roles. Most pay $150,000–$221,175 — the blue band above. At the midpoint, this role pays about $164k versus about $186k 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 35 open roles on FindRole.

Listed pay typically runs $121,000–$206,000 across 35 roles with salary data.

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At a glance

TL;DR · Senior AI Software Engineer, Investments Technology

The Sr. AI Software Engineer- Investments Technology joins the Investments Technology team to design, develop, and deploy autonomous AI systems. Working within cross-functional squads, the engineer builds and tests AI agents and intelligent systems for modern cloud-based, n-tier architectures. Key responsibilities include developing agent-driven workflows to automate complex processes, managing technical debt, and contributing to projects involving agent orchestration, prompt engineering, and real-time data-driven automation. The role requires proficiency in object-oriented languages like Java, Python, or JavaScript, alongside experience with AWS, Azure, and containerized microservices. Candidates should possess hands-on skills in LLM-powered systems, retrieval-augmented generation, vector databases, and Amazon Bedrock AgentCore. This position addresses technical challenges within the asset management domain, specifically focusing on financial markets, financial instruments, and complex financial datasets.

What you'll do

  • Design, build, test, and deploy AI agents and intelligent systems for cloud-based, n-tier architectures.
  • Partner with business stakeholders to develop agent-driven workflows that automate complex processes and generate insights.
  • Apply best practices in AI development, continuous integration, and code quality to ensure engineering excellence.
  • Contribute to projects involving agent orchestration, prompt engineering, and real-time data-driven automation.
  • Manage technical debt and drive ongoing improvements in AI platforms and infrastructure.
  • Translate business requirements into effective technology solutions that support fiscal responsibility and objectives.
  • Proactively identify opportunities to apply AI agents for increased business value and operational efficiency.

What we're looking for

  • BS or MS in Computer Science or a related technical field, or equivalent experience.
  • 5+ years of professional development experience in an object-oriented language (Java, Python, or JavaScript preferred).
  • Hands-on experience building LLM-powered or agent-based systems in production.
  • Hands-on experience with cloud-native architectures (AWS, Azure), containerized microservices, and agent frameworks.
  • Strong analytical and problem-solving abilities with a commitment to automated testing, code reviews, and continuous delivery.
  • Experience with RAG, vector databases, MCP servers, agent orchestration, prompt evaluation, and model benchmarking (preferred).
  • Experience with Amazon Bedrock AgentCore, AWS Kiro, and OpenAI Codex (preferred).
  • Experience in asset management, financial markets, or quantitative research environments (preferred).

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