T. Rowe Price

1 week ago

Lead AI Full Stack Software Engineer – Investments Technology

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Lead the design, development, and deployment of production-grade agentic AI systems embedded in the investment lifecycle. Work with cross-functional squads to architect and operationalize autonomous AI agents that use proprietary financial data and enterprise systems. Help establish technical standards, governance, and engineering best practices to scale responsible AI across a global asset management platform, while overseeing agent orchestration, prompt engineering, and automation.

Location: Baltimore, Washington DC

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key 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 produce actionable insights.
•Establish and enforce AI engineering best practices, including continuous integration and code quality standards.
•Oversee agent orchestration, prompt engineering, real-time data-driven automation, and manage technical debt to improve AI platforms and infrastructure.

Pay and Benefits

Salary: USD 145,000 - 309,000 annually

Perks:Annual BonusRetirementHybrid WorkPaid LeaveHealth Insurance

Key Requirements

•BS or MS in Computer Science or related field (or equivalent experience) and 8+ years of progressive experience in object-oriented languages (Java, Python, or JavaScript), including demonstrated leadership of engineering teams.
•Hands-on expertise architecting and delivering cloud-native solutions using AWS or Azure, containerized microservices, and agent frameworks.
•Exceptional analytical and problem-solving skills, with proven ability to guide teams through complex technical challenges.
•Ability to communicate with and influence business stakeholders and technical teams.
•Commitment to engineering excellence through automated testing, code reviews, and continuous delivery standards.

Experience:8+ yearsAsset managementFinancial marketsQuantitative researchLLM-powered systemsAgentic AI

Education:Bachelor's

Skills:LeadershipMentorshipAnalytical thinkingProblem-solvingCommunication

Tech Stack:JavaPythonJavaScriptAWSAzureContainerized microservicesAgent frameworksLLMRetrieval-augmented generation (RAG)Vector databasesMCP serversPrompt engineeringContinuous integrationAutomated testingCode reviewsContinuous deliveryAmazon Bedrock AgentCoreAWS KiroOpenAI Codex

Company Brief

T. Rowe Price

Global investment management firm offering mutual funds, retirement services, and advisory solutions for individual and institutional investors. Manages assets across equities, fixed income, multi-asset, and alternative strategies.

Industry: Asset Management

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Baltimore, United States

Founded: 1937

Website LinkedIn

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T. Rowe Price

1 week ago

Lead AI Full Stack Software Engineer – Investments Technology

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: Baltimore, Washington DC

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key 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 produce actionable insights.
•Establish and enforce AI engineering best practices, including continuous integration and code quality standards.
•Oversee agent orchestration, prompt engineering, real-time data-driven automation, and manage technical debt to improve AI platforms and infrastructure.

Pay and Benefits

Salary: USD 145,000 - 309,000 annually

Perks:Annual BonusRetirementHybrid WorkPaid LeaveHealth Insurance

Key Requirements

•BS or MS in Computer Science or related field (or equivalent experience) and 8+ years of progressive experience in object-oriented languages (Java, Python, or JavaScript), including demonstrated leadership of engineering teams.
•Hands-on expertise architecting and delivering cloud-native solutions using AWS or Azure, containerized microservices, and agent frameworks.
•Exceptional analytical and problem-solving skills, with proven ability to guide teams through complex technical challenges.
•Ability to communicate with and influence business stakeholders and technical teams.
•Commitment to engineering excellence through automated testing, code reviews, and continuous delivery standards.

Experience:8+ yearsAsset managementFinancial marketsQuantitative researchLLM-powered systemsAgentic AI

Education:Bachelor's

Skills:LeadershipMentorshipAnalytical thinkingProblem-solvingCommunication

Company Brief

T. Rowe Price

Industry: Asset Management

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Baltimore, United States

Founded: 1937

Website LinkedIn