AI Engineer, Brooklyn Direct Indexing

TIAA•New York, NY

7d•Onsite

About The Position

A core member of our AI team, playing a critical role in shaping and scaling AI capabilities across Brooklyn’s equities portfolio management platform. Lead by example as a hands-on individual contributor, driving the development of AI-powered solutions that enhance strategy generation, portfolio rebalancing, trade execution, and advisor-facing tools used daily by financial professionals.

Requirements

Minimum of 3+ years in python software development and AI experience
Experience developing software within an equities or fixed income domain

Nice To Haves

Experience building AI production systems

Responsibilities

Identify and develop opportunities for AI, including agentic AI, across platform capabilities, while working with technical and non-technical stakeholders
Own multiple AI initiatives, end-to-end, from ideation to implementation, including working with a mix of greenfield and legacy integrations, deployed on AWS infrastructure (CDK, ECS Fargate, serverless components)
Bring a clear understanding of how to build and rigorously evaluate reliable, interpretable AI systems
Integrate AI into our data infrastructure, pipelines, and flows
Drive the design of complex agentic workflows pulling together data from PostgreSQL, DocumentDB, S3, and a variety of internal and external APIs
Establish and enforce standards for best practices for high-quality AI development and efficient implementation
Design complex agentic workflows leveraging data from PostgreSQL, DocumentDB, S3, and internal/external APIs
Build and maintain production-grade REST APIs (e.g., FastAPI)
Collaborate with other engineers who are passionate about AI tooling, including Claude Code, Github Copilot, and more, including experienced AI developers
Mentor other engineers on building AI into their work — without taking on direct reports
Keep the organization ahead of the curve as we scale without compromising the values that brought us here