Lead AI Full Stack Software Engineer, Investments Technology

T. Rowe Price

Confirmed live 2 days ago High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Washington, DCBaltimore, MD
Salary
$145,000–$247,000 / yr
Posted
45 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $207k
This role $196k
$133k most similar roles pay here $259k

This role pays less than 63% of similar roles. Most pay $192,050–$221,175 — the shaded band above. At the midpoint, this role pays about $196k versus about $207k 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 · Lead AI Full Stack Software Engineer, Investments Technology

As a Lead AI Full Stack Software Engineer – Investments Technology, you will join the Investments Technology team to lead the design, development, and deployment of production-grade agentic AI systems integrated into the investment lifecycle. You will work within cross-functional squads to architect and operationalize autonomous AI agents that interact with proprietary financial data and enterprise systems for research, quantitative analysis, portfolio management, and trading functions. Your daily responsibilities include providing technical mentorship, establishing engineering standards for CI/CD and code quality, and managing projects involving agent orchestration and prompt engineering. You will utilize Java, Python, or JavaScript to build cloud-native solutions on AWS or Azure using containerized microservices. Specialized tools include Amazon Bedrock AgentCore, AWS Kiro, OpenAI Codex, vector databases, and RAG techniques to solve complex problems within the asset management and financial markets domain.

What you'll do

  • Lead the design, development, and deployment of production-grade agentic AI systems for the investment lifecycle.
  • Architect and operationalize autonomous AI agents that interact with proprietary financial data and enterprise systems.
  • Establish technical standards, architectural patterns, and governance frameworks to scale AI across the global platform.
  • Partner with business stakeholders to develop agent-driven workflows that automate complex processes and provide insights.
  • Oversee projects involving agent orchestration, prompt engineering, and real-time, data-driven automation.
  • Enforce engineering best practices in AI development, including continuous integration and code quality.
  • Manage technical debt while driving improvements in AI platforms and infrastructure.
  • 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).
  • 8+ years of professional development experience in object-oriented languages like Java, Python, or JavaScript.
  • Demonstrated leadership experience managing and mentoring engineering teams.
  • Extensive hands-on expertise in architecting cloud-native solutions using AWS or Azure and containerized microservices.
  • Experience with agent frameworks, RAG, vector databases, and prompt engineering.
  • Proficiency with tools such as Amazon Bedrock AgentCore, AWS Kiro, and OpenAI Codex.
  • Ability to communicate with and influence both business stakeholders and technical teams.
  • Knowledge of financial markets, instruments, and quantitative research environments is preferred.

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