Lead AI Full Stack Software Engineer – Investments Technology

T. Rowe Price

Hybrid Actively hiring
Baltimore, Maryland · Washington DC Posted 30 days ago $145,000–$247,000 / year
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At a glance

AI generated

TL;DR

As a Senior AI Systems Engineer in the Investments Technology team, you will lead the design and deployment of agentic AI systems embedded into the investment lifecycle. You will collaborate with cross-functional squads to architect autonomous AI agents that interact with financial data and enterprise systems across research, analysis, portfolio management, and trading functions. Your responsibilities include defining technical standards, mentoring engineering teams, and ensuring responsible scaling of AI solutions. You will partner with business stakeholders to develop agent-driven workflows, champion engineering excellence through best practices in AI development, and manage projects on prompt engineering and real-time automation. The role requires extensive experience in cloud-native solutions using AWS or Azure, containerized microservices, and object-oriented programming languages like Java, Python, or JavaScript, along with a deep understanding of financial markets and datasets.

Skills

AWS Azure Python Java JavaScript CI/CD Docker Kubernetes Terraform LLM-powered systems RAG Vector databases MCP servers Agent orchestration frameworks Prompt evaluation and iteration Model benchmarking Performance testing Amazon Bedrock AgentCore AWS Kiro OpenAI Codex

What you'll do

  • Lead the design, development, and deployment of AI systems for investment lifecycle processes.
  • Define technical standards and governance frameworks for scaling AI across global platforms.
  • Partner with business stakeholders to develop agent-driven workflows and generate insights.
  • Champion engineering excellence by establishing best practices in AI development and code quality.
  • Oversee projects on agent orchestration, prompt engineering, and real-time data automation.

What we're looking for

  • BS or MS in Computer Science with 8+ years of professional experience leading engineering teams.
  • Extensive hands-on expertise in cloud-native solutions using AWS or Azure, containerized microservices, and agent frameworks.
  • Proven ability to guide technical teams through complex challenges and communicate effectively across business and tech teams.
  • Demonstrated commitment to engineering excellence by setting standards for automated testing, code reviews, and continuous delivery.
  • Experience building LLM-powered or agent-based systems in production environments preferred.
  • Solid understanding of financial markets and datasets beneficial but not required.

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $213k
This role $196k
$133k most similar roles pay here $259k

This role pays less than 68% of similar roles. Most pay $184,900–$241,750 — the shaded band above. At the midpoint, this role pays about $196k versus about $213k 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 20 open roles on FindRole.

Listed pay typically runs $133,000–$226,500 across 20 roles with salary data.

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