AI Engineer, Brooklyn Direct Indexing

About this role

Head of AI, Brooklyn Direct Indexing
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 portfolio rebalancing, trade execution, and advisor-facing tools used daily by financial professionals.

Key Responsibilities and Duties

- 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

Educational Requirements

• University (Degree) Preferred

Work Experience

• 5+ Years Required; 7+ Years Preferred

Career Level
8IC

Qualifications:

**Requir...