Embedded AI Scientist — Investment Fellowship & Desk Rotations

Balyasny Asset Management L.P.; New York (NY); On-site; USD 90,000 - 130,000; Full time

Job summary

Balyasny Asset Management L.P. invites applications for its exclusive AI Fellowship, a rotational program embedding elite AI practitioners with BAM’s investment teams in New York.

You will start with the central AI team, learning BAM’s platform and shipping production tooling, then rotate to work directly with portfolio managers on agentic workflows and research automation. Qualifications include a Master’s in a quantitative field and hands-on experience building LLM-based apps in production.

Qualifications

• Master's degree or equivalent in a quantitative field with strong CS and ML foundations.
• Proven experience building LLM-based applications in production.
• Experience translating complex investment workflows for non-technical stakeholders.

Responsibilities

• Build agentic workflows, data pipelines and research automation for investment teams.
• Embed with PMs and analysts to translate requirements into technical solutions.
• Learn BAM's AI platform and contribute production tooling to central platform.
• Rotate across investment teams to find high-impact problems.
• Track and apply emerging LLM techniques and agentic frameworks.

Skills

Python programming

LLM-based solutions

Communication with stakeholders

Ambiguity management

Education

Master's degree in AI/Data Science/CS/Statistics/Math

Advanced degrees preferred

Tools

OpenAI API

Anthropic API

Google API

LangGraph

OpenAI Agents SDK

Claude Agent SDK

Codex

AWS

Azure

GCP

Airflow

Git

Job description

Balyasny Asset Management L.P. invites applications for its exclusive AI Fellowship, a rotational program embedding elite AI practitioners with BAM’s investment teams in New York.

You will start with the central AI team, learning BAM’s platform and shipping production tooling, then rotate to work directly with portfolio managers on agentic workflows and research automation. Qualifications include a Master’s in a quantitative field and hands-on experience building LLM-based apps in production.