Lead AI Software Engineer – Investments Technology

T. Rowe Price

. Lead the design, development, and deployment of production-grade agentic AI systems embedded in the investment lifecycle .

Posted 9/23/2026full-timeBaltimore • Maryland • United StatesSenior💰 $145,000 - $247,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and delivering cloud-native AI solutions, with a strong focus on agent-based systems and financial data integration. Proven ability to lead engineering teams, establish technical standards, and drive innovation in AI development.

Highest-signal resume keywords

Cloud-Native SolutionsAgent-Based SystemsObject-Oriented ProgrammingTechnical LeadershipAI Development Best Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaPythonJavaScriptAWSAzureMicroservicesAutomated TestingContinuous DeliveryPrompt EngineeringData-Driven Automation

Soft Skills

Analytical SkillsProblem-SolvingCommunicationMentoringCollaboration

Tools & Technologies

Amazon BedrockAgentCoreAWS KiroOpenAI CodexVector DatabasesMCP Servers

Industry Keywords

Investment LifecycleFinancial MarketsQuantitative ResearchFinancial InstrumentsFinancial Datasets

Tech Stack

Tools & technologies

AWSAzureCloudJavaJavaScriptMicroservicesPython

About the role

Key responsibilities & impact

Lead the design, development, and deployment of production-grade agentic AI systems embedded in the investment lifecycle
Architect, build, and operationalize autonomous AI agents interacting with proprietary financial data, enterprise systems, and investment professionals
Support AI agents across investment research, quantitative analysis, portfolio management, and trading functions
Define technical standards, architectural patterns, governance frameworks, and engineering discipline for responsible AI at scale
Provide technical mentorship and oversight to engineering squads
Collaborate across Investments, Investments Technology, and TRP Labs
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 agent orchestration, prompt engineering, and real-time data-driven automation projects
Prioritize and manage technical debt and improve AI platforms and infrastructure
Identify opportunities to apply AI agents for business value and operational efficiency
Translate complex business requirements into robust, scalable technology solutions aligned with organizational strategy

Requirements

What you’ll need

BS or MS in Computer Science or a related technical field (or equivalent experience)
8+ years of progressive professional development experience in object-oriented languages such as Java, Python, or JavaScript
Demonstrated leadership of engineering teams
Extensive hands-on expertise architecting and delivering cloud-native solutions using AWS or Azure, containerized microservices, and agent frameworks
Exceptional analytical and problem-solving skills
Ability to communicate with and influence business stakeholders and technical teams
Experience establishing and upholding standards for automated testing, code reviews, and continuous delivery
Passion for mentoring, fostering innovation, and staying current with emerging technologies
FINRA licenses are not required and will not be supported for this role
Preferred: hands-on experience building LLM-powered or agent-based systems in production
Preferred: experience with RAG, vector databases, MCP servers, agent orchestration frameworks, prompt evaluation and iteration, model benchmarking, and performance testing
Preferred: experience with Amazon Bedrock AgentCore, AWS Kiro, and OpenAI Codex
Preferred: experience in asset management, financial markets, or quantitative research environments
Preferred: understanding of financial markets, financial instruments, and financial datasets

Benefits

Comp & perks

Competitive compensation
Annual bonus eligibility
A generous retirement plan
Hybrid work schedule
Health and wellness benefits, including online therapy
Paid time off for vacation, illness, medical appointments, and volunteering days
Family care resources, including fertility and adoption benefits
Up to three days per week from home