| Location | Boston, Massachusetts |
| Website | \"https://www.baincapital.com/\" |
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.
KEY RESPONSIBILITIES
WHAT WE’RE LOOKING FOR
GENERAL QUALIFICATIONS
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.