AI Engineer, GSS

Bain Capital•Boston, MA

1d•$120,000 - $150,000

About The Position

This role puts you at the intersection of AI and investing. You’ll sit alongside our Global Special Situations (GSS) investing and operations teams to design and deploy AI tools that make every part of the investment process more efficient, and more data driven. While fully dedicated to the GSS business, you will be part of the larger Bain Capital Data Science & AI Team, a group of data scientists, AI engineers, product managers, and business Analysts, building AI products and driving key AI initiative across all Bain Capital businesses. You’ll have the freedom to experiment, the visibility to influence senior decision-makers, and the opportunity to stay at the forefront of rapidly evolving AI technologies, all while helping transform how the team invests. Impact: Influence on how a multi-billion-dollar investment team works, with a mandate to innovate. Breadth: Exposure to every stage of the investment process and to senior investors from day one. Autonomy: Freedom to experiment, fail fast, and build what matters. Learning Curve: Continuous access to frontier AI technologies and real-world use cases few other environments can offer. Apprenticeship: You will learn and be mentored by top-tier AI practitioners and investors, offering great opportunities to grow your career and develop your skills at the intersection of AI and investing. Global footprint: The GSS business has strong presence in North America, Europe and Asia. While based in Boston, in this role you will have the opportunity to travel frequently to NY, Europe and Asia and embed yourself with teams in those regions.

Requirements

Technical aptitude — comfortable writing Python, working with APIs, and experimenting with AI models and data tools.
Curiosity and experimentation mindset — someone who loves exploring new technologies and quickly figuring out what’s useful vs. hype.
Structured problem-solving and ownership — you’ll often start from a loose idea and need to define, build, and deliver something tangible.
Strong communication and collaboration skills — able to work cross-functionally with investment professionals, data engineers, and vendors.
Grit and bias to action — someone who gets things done without overcomplicating.
Team player — someone that thrives collaborating and contributing to a larger AI community of practice and helps create an environment of excellence for AI practitioners.
Bachelor’s degree in Computer Science, Engineering, Applied Math, or a related technical field.
1–4 years of professional experience (can include internships or project work).

Nice To Haves

Experience with Python, data APIs, or lightweight web/app development a plus.
Familiarity with LLMs, prompt engineering, vector databases, Agentic AI and workflow automation tools.
Experience with Claude Code, OpenAI Codex, or Google Gemini CLI
Experience with Cursor, Windsurf, or other AI-centric IDEs
Prior exposure to finance, investing, or data-heavy analysis environments helpful but not necessary.

Responsibilities

Build and deploy AI solutions to streamline all aspects of the investment process — from sourcing and market mapping to due diligence and portfolio analytics.
Build and deploy AI solutions to streamline all aspects of internal business processes — from finance to operations, from legal to HR.
Prototype and evaluate AI tools (LLMs, agents, data enrichment, automation frameworks, etc.) that can improve decision-making and team efficiency.
Collaborate with investment professionals to identify high-value use cases, translate business needs into technical projects, and deliver functional tools.
Collaborate with AI practitioners across Bain Capital businesses to share learnings, codify best practices, build common AI tools to accelerate path to impact
Manage pilots with leading AI vendors , evaluate their fit, and lead implementations when appropriate.
Maintain and extend internal data pipelines , API connections, and tool integrations supporting the investment platform.
Act as an internal “AI champion” — helping train the team on new capabilities and ensuring adoption of the most useful tools and workflows.

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