Sr. AI Full Stack Software Engineer

• Collaborate in cross-functional squads across Investments, Investments Technology, and an internal AI lab to help scale responsible AI solutions across the enterprise
• Build and contribute to AI agents that interact with proprietary financial data, enterprise systems, and investment professionals
• Support investment research, quantitative analysis, portfolio management, and trading business functions through intelligent automation

Responsibilities

• 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

• 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, Python, Java, or JavaScript preferred
• Hands-on experience with cloud-native architectures using AWS or Azure, containerized microservices, and agent frameworks
• Strong analytical and problem-solving abilities
• Commitment to quality through automated testing, code reviews, and continuous delivery
• Results-driven with a passion for learning and staying current with emerging technologies, * Hands-on experience building LLM-powered or agent-based systems in production
• Experience with RAG, vector databases, MCP servers, agent orchestration frameworks, prompt evaluation, model benchmarking, and performance testing
• Experience with Amazon Bedrock AgentCore, AWS Kiro, and OpenAI Codex
• Background in asset management, financial markets, or quantitative research environments
• Solid understanding of financial markets, financial instruments, and financial datasets

Work Flexibility

• Hybrid, up to three days per week from home

A premier global asset management organization with more than 85 years of experience, providing investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors.