Senior AI Full Stack Software Engineer, Investments Technology

T. Rowe Price

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Baltimore, MDWashington, DC
Salary
$121,000–$206,000 / yr
Posted
50 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $202k
This role $164k
$109k most similar roles pay here $238k

This role pays less than 82% of similar roles. Most pay $184,950–$218,518 — the shaded band above. At the midpoint, this role pays about $164k versus about $202k 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 26 open roles on FindRole.

Listed pay typically runs $121,500–$207,500 across 26 roles with salary data.

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View all roles at T. Rowe Price

At a glance

TL;DR · Senior AI Full Stack Software Engineer, Investments Technology

As a Sr. AI Full Stack Software Engineer- Investments Technology, you will join the Investments Technology team to design, build, test, and deploy autonomous AI systems and agent-driven workflows. Working within cross-functional squads, you will develop intelligent systems for modern cloud-based, n-tier architectures to automate complex processes and generate actionable insights. Your daily work involves managing technical debt, performing prompt engineering, and developing evaluation frameworks for real-time data-driven automation. You will utilize technologies including Java, Python, or JavaScript, alongside AWS, Azure, and containerized microservices. Specialized tools include Amazon Bedrock AgentCore, AWS Kiro, OpenAI Codex, vector databases, and RAG techniques. This role addresses the technical challenge of scaling responsible AI solutions within the asset management domain, specifically focusing on financial markets, instruments, and datasets to drive operational efficiency and business value.

What you'll do

  • Design, build, test, and deploy AI agents and intelligent systems for cloud-based architectures.
  • Develop agent-driven workflows with business stakeholders to automate complex processes and generate insights.
  • Implement prompt engineering, real-time data automation, and evaluation frameworks for AI models.
  • Apply best practices in AI development, continuous integration, and code quality to ensure engineering excellence.
  • Manage technical debt and drive improvements across AI platforms and infrastructure.
  • Translate business requirements into scalable technology solutions that support fiscal responsibility.
  • Identify opportunities to apply AI agents for increased operational efficiency and business value.

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 like Java, Python, or JavaScript.
  • Hands-on experience building LLM-powered or agent-based systems in production environments.
  • Experience with cloud-native architectures (AWS, Azure), containerized microservices, and agent frameworks.
  • Proficiency in RAG, vector databases, MCP servers, and prompt engineering/evaluation.
  • Familiarity with Amazon Bedrock AgentCore, AWS Kiro, and OpenAI Codex.
  • Knowledge of financial markets, financial instruments, and financial datasets is preferred.
  • Experience in asset management, financial markets, or quantitative research environments is preferred.

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