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Open nowPosted 85 days ago

AI Engineer, PE

Bain Capital59 open roles

Where
Boston
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Your applicationOpen nowAI Engineer, PEBain Capital · Boston

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. Bain Capital postings stay open a median of 42 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 85 days ago

Bain Capital median: 42 days open

The posting

Role: AI Engineer

Location: Boston Office

BAIN CAPITAL OVERVIEW

With approximately $185 billion of assets under management, Bain Capital is one of the world’s leading private investment firms. We create lasting impact for our investors, teams, businesses, and the communities in which we live. Over four decades we have strategically grown our platform to focus on Private Equity, Growth & Venture, Capital Solutions, Credit & Capital Markets, and Real Assets. Today, our team includes 1,990+ employees in 24 offices on four continents.

We partner differently to help people and companies embrace possibility and realize potential. Founded as a private partnership in 1984, we have fostered a culture of innovation, entrepreneurialism, and agility, empowering our people to define and own their career trajectories. Today, our partnership approach enables us to pursue strategic growth, build enduring relationships with a robust external network, and collaborate across our integrated platform to connect the deep and diverse expertise that unlocks breakthrough insights.

Our people are the heart of our advantage. Colleagues at all levels have a seat at the table as they tackle business challenges with a principal investor mindset. By asking incisive questions, respectfully challenging one another, and remaining intellectually agile, we work together to achieve exceptional outcomes.

For more information visit: Bain Capital

BAIN CAPITAL NORTH AMERICA PRIVATE EQUITY (NAPE) OVERVIEW

Bain Capital Private Equity has been one of the world’s leading private equity investors since 1984. We partner with management teams to build great companies, focusing on deep industry expertise, a differentiated sourcing model, and a rigorous investment process. The NAPE team covers investments across Technology, Healthcare, Business Services & Consumer, and Industrials verticals from our Boston headquarters, and is part of Bain Capital’s global PE platform spanning North America, Europe, and Asia.

WHY THIS ROLE IS UNIQUE

This role sits at the heart of one of the most ambitious AI transformation efforts underway in private equity. You’ll work directly with NAPE deal teams to redesign how they source, diligence, and make investment decisions using AI — not by telling them what to do, but by building things that make their work genuinely better and ensuring those tools actually get used. While fully dedicated to the NAPE 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 initiatives 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 PE initiative spans NAPE, EU, and Asia. While based in Boston, in this role you will have the opportunity to travel and embed yourself with deal teams in London and across Asia as the initiative scales globally.

KEY 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.
  • 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 and teams 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.

WHAT WE’RE LOOKING FOR

  • 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, IT, research, data scientists/ 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.

GENERAL QUALIFICATIONS

  • Bachelor’s degree in computer science, data science, engineering or a quantitative, analytical field; MBA or advanced degree from a top program a plus.
  • 3–5 years of professional experience, with a strong track record of delivering analytically complex, high-quality work; MBB or comparable top-tier firm is a plus.
  • 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.

Why Join us

We are at an early and defining moment in how private equity uses AI. The tools, workflows, and best practices being built right now will shape how Bain Capital invests for years to come. In this role you will be at the center of that effort — building things that matter, working alongside world-class investors, and helping define what AI-enabled PE looks like in practice.

Compensation:

Expected Annual Base Salary $120,000 – $150,000

Actual base salary will be determined by a wide range of factors including but not limited to role, function, level, experience, qualifications and geographic location. In addition to a competitive base salary, this position may be eligible for a discretionary annual bonus based upon factors such as individual impact, team and firm performance. Bain Capital offers a competitive benefits package designed to support employees’ health, financial security, family needs, and overall well-being.

Bain Capital is an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

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