Design, develop, and deploy autonomous AI systems as part of the Investments Technology team
Collaborate in cross-functional squads across Investments, Investments Technology, and TRP Labs to help scale responsible AI solutions across the enterprise
Design, build, test, and deploy AI agents and intelligent systems for modern cloud-based, n-tier architectures
Partner with business stakeholders to develop agent-driven workflows that automate complex processes and generate actionable insights
Champion engineering excellence by applying best practices in AI development, continuous integration, and code quality
Contribute to projects on agent orchestration, prompt engineering, real-time data-driven automation, and evaluation frameworks
Manage technical debt and drive ongoing improvements in AI platforms and infrastructure
Proactively seek opportunities to apply AI agents for increased business value and operational efficiency
Collaborate directly with business stakeholders to understand needs and priorities
Make technology decisions that support current and future business objectives and fiscal responsibility
Translate business requirements into effective technology solutions

Requirements

BS or MS in Computer Science or a related technical field (or equivalent experience)
5+ years of professional development experience in an object-oriented language (Java, Python, or JavaScript preferred)
Hands-on experience with cloud-native architectures (AWS, Azure), containerized microservices, and agent frameworks
Strong analytical and problem-solving abilities
Commitment to quality via automated testing, code reviews, and continuous delivery
Results-driven with a passion for learning and staying current with emerging technologies
Preferred: Hands-on experience building LLM-powered or agent-based systems in production
Preferred: Experience with retrieval-augmented generation (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: Solid understanding of financial markets, financial instruments, and financial datasets.

Benefits

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI developmentobject-oriented programmingJavaPythonJavaScriptcloud-native architecturesautomated testingcontinuous deliveryagent frameworksperformance testing

Soft Skills

analytical abilitiesproblem-solvingcommitment to qualityresults-drivencollaborationcommunicationproactivetechnology decision-makingbusiness acumenlearning agility

Certifications

BS in Computer ScienceMS in Computer Science