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T. Rowe Price

Global asset manager offering retirement solutions

Lead AI Software Engineer - Investments Technology

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeBaltimore, MD, USA

About the Job

Requirements

  • A BS or MS in Computer Science or a related technical field, or equivalent experience, and 8+ years of progressive professional development experience in object-oriented languages such as Java, Python, or JavaScript, including demonstrated leadership of engineering teams.
  • Extensive hands-on expertise architecting and delivering cloud-native solutions using AWS or Azure, containerized microservices, and agent frameworks.
  • Ability to guide teams through complex technical challenges.
  • Ability to communicate with and influence business stakeholders and technical teams.
  • Demonstrated commitment to engineering excellence through setting and upholding standards for automated testing, code reviews, and continuous delivery.

Responsibilities

  • Lead the design, development, and deployment of AI systems, providing technical mentorship and oversight to engineering squads.
  • Collaborate in cross-functional squads to scale responsible AI solutions across the enterprise.
  • Partner with business stakeholders to develop agent-driven workflows that automate complex processes and generate actionable insights.
  • Establish and enforce best practices in AI development, continuous integration, and code quality.
  • Oversee projects on agent orchestration, prompt engineering, and real-time, data-driven automation.
  • Prioritize and manage technical debt, driving ongoing improvements in AI platforms and infrastructure.
  • Identify and pursue opportunities to apply AI agents for increased business value and operational efficiency.
  • Engage directly with business stakeholders to understand organizational needs, strategic priorities, and evolving market demands.
  • Make technology decisions aligned with the firm’s long-term strategy, organizational objectives, and fiscal responsibility.
  • Translate complex requirements into robust, scalable technology solutions that drive measurable business value.

Desired Qualifications

  • Hands-on experience building LLM-powered or agent-based systems in production.
  • Experience with retrieval-augmented generation (RAG), vector databases, MCP servers, agent orchestration frameworks, prompt evaluation and iteration, model benchmarking, and performance testing.
  • Experience with Amazon Bedrock AgentCore, AWS Kiro, and OpenAI Codex.
  • Experience in asset management, financial markets, or quantitative research environments.
  • Understanding of financial markets, financial instruments, and financial datasets.

About the Company

T. Rowe Price

Global asset manager offering retirement solutions

T. Rowe Price provides investment management and retirement solutions to individual investors, financial intermediaries, and institutions worldwide. It manages client assets through a disciplined, research-driven investment process and offers a range of strategies and products designed for long-term value. Clients pay management fees based on assets under management, with total assets under management around $1.569 trillion as of June 30, 2024. The company differentiates itself by its global research capabilities, experienced investment teams, and broad client base, enabling tailored solutions for personal accounts, retirement plans, and institutional clients. Its goal is to help clients reach their financial objectives by growing and preserving capital over the long term through diversified investment strategies.

Company size
10,001+
Company stage
IPO
Headquarters
Baltimore, MD
Founded
1937

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