Lead 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
$145,000–$247,000 / yr
Posted
8 days ago
Freshness
Confirmed live yesterday

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

Lead AI Full Stack Software Engineer – Investments Technology joins the Investments Technology team to lead the design, development, and deployment of production-grade agentic AI systems within the investment lifecycle. Working in cross-functional squads, this individual will architect and operationalize autonomous AI agents that interact with proprietary financial data and enterprise systems to support research, quantitative analysis, portfolio management, and trading functions. The role involves establishing technical standards for prompt engineering, agent orchestration, and real-time automation while managing technical debt. Required skills include proficiency in object-oriented languages like Java, Python, or JavaScript, along with expertise in cloud-native solutions using AWS or Azure, containerized microservices, and agent frameworks. Preferred experience includes LLM-powered systems, retrieval-augmented generation, vector databases, Amazon Bedrock AgentCore, and OpenAI Codex within asset management or financial market environments.

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 generate insights.
  • Oversee projects involving agent orchestration, prompt engineering, and real-time, data-driven automation.
  • Champion engineering excellence by enforcing best practices in CI/CD, code quality, and automated testing.
  • Manage technical debt and drive continuous improvements in AI infrastructure and platforms.
  • 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 and experience leading engineering teams.
  • Extensive hands-on expertise in architecting cloud-native solutions using AWS or Azure and containerized microservices.
  • Experience with agent frameworks, prompt engineering, and real-time data-driven automation.
  • Ability to communicate with and influence both business stakeholders and technical teams.
  • Commitment to engineering excellence through automated testing, code reviews, and continuous delivery.
  • Preferred experience with LLM-powered systems, RAG, vector databases, and financial market environments.

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