Applied AI Scientist – AI Fellowship Program

Role Overview

BAM is launching an exclusive AI Fellowship program – a rotational program that places elite AI implementation talent directly onto BAM’s investment teams. You will begin embedded with our central AI team, learning BAM’s platform and systems while shipping production tooling from the outset. You will then rotate onto investment teams as the dedicated AI partner to a portfolio manager, building agentic workflows, research automation, screening tools and model tooling against live investment problems. Teams have already signalled demand for these seats, and the goal is a permanent home on the desk.

Key Responsibilities

· Build for the Desk: Design, build and deploy agentic workflows, data pipelines and research automation that directly improve a portfolio manager’s research process and decision speed

· Learn the Platform: Spend your initial months with the central AI team mastering BAM’s in-house AI ecosystem, while contributing production tooling to the central platform

· Embed & Partner: Sit with PMs and analysts on rotation, translating investment workflows and ambiguous requirements into working technical solutions

· Rotate & Explore: Work across multiple investment teams and strategies, developing the breadth of exposure needed to find the team and problem set where you have the greatest impact

· Maintain Edge: Track emerging LLM techniques and agentic frameworks, pilot promising approaches on real investment problems, and bring proven wins to the teams you work with

Qualifications

Education

· Master’s degree in AI, Data Science, Computer Science, Statistics, Mathematics or a related quantitative field, or equivalent work experience. Advanced degrees preferred

· Strong grounding in computer science, statistics, machine learning and generative AI is required

Experience

· 3 – 5 years of experience in a user-facing role, scoping, building and deploying LLM-based solutions in production

· Demonstrable experience building LLM-based applications using agentic frameworks

· Direct work with non-technical stakeholders to shape and deliver solutions

· Exposure to buy-side, equity research or another investment setting is a plus

Technical Skills

· Highly proficient in Python for engineering, statistical modelling and machine learning

· Experience integrating LLMs and AI models into production workflows

· Familiarity with model provider APIs (OpenAI, Anthropic, Google) and agentic frameworks such as LangGraph, the OpenAI Agents SDK or the Claude Agent SDK

· Fluency with agentic coding tools such as Claude Code and Codex

· Working knowledge of MCP for tool and data integration

· Familiarity with cloud platforms (AWS, Azure, GCP), Git, and workflow orchestration tools such as Airflow is a strong plus

Soft Skills

· Strong problem-solving and analytical skills, with a bias toward shipping

· Excellent communication skills; able to explain technical trade-offs to portfolio managers and analysts

· Self-directed, comfortable operating with ambiguity and limited supervision

· Able to manage multiple workstreams and deliver to deadline