AI Engineering Intern (Summer 2027)

AI Engineering Intern (Summer 2027)

General Information

Job Title

• AI Engineering Intern (Summer 2027) Job ID
• 109508 Work Areas
• Technology & Engineering Employment Type
• Intern (Full-Time) Location(s)
• New York, San Francisco

Description & Requirements

WHAT MAKES US A GREAT PLACE TO WORK

We are proud to be consistently recognized as one of the world’s best places to work. We are currently the top ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.

ABOUT BAIN AI, INSIGHTS & SOLUTIONS (AIS)

Bain’s AI, Insights & Solutions (AIS) team works with clients to design and deliver AI-powered solutions that create measurable business impact. You’ll operate in multidisciplinary teams alongside Bain consultants, other experts in product, design, architecture and engineering, and client stakeholders, translating ambiguous business problems into robust AI applications that can be piloted, scaled, and adopted.

WHERE YOU’LL FIT WITHIN THE TEAM

Over the course of a 10-week internship, you will contribute to the design and development of generative AI applications and agentic solutions for Bain’s clients. Working alongside experienced engineers, consultants, and data scientists, you will gain hands-on exposure to the full AI development lifecycle—from early prototyping through to production-ready deployment. This is a learning-first role: you will grow through real project work, close mentorship, frequent feedback, and increasing responsibility over time.

Bain offers significant learning and growth opportunities through our apprenticeship model. You will learn by doing, with support from experienced teammates, frequent feedback, and increasing responsibility over time Bain works with clients on board-level and executive priorities. As an intern, you will build the technical core of transformations and help move solutions from prototype to real adoption. You will have opportunities to collaborate with major AI ecosystem partners through Bain’s partnerships, contributing to real client deployments and shaping how emerging capabilities are applied in enterprise settings

WHAT WE’RE LOOKING FOR

• 0–2+ years of professional AI / ML engineering experience, or equivalent through internships, research, academic projects, or open-source contributions
• Currently pursuing or recently completed a bachelor’s, master’s, or PhD in CS, ML, AI, Data Science, Engineering, or a related quantitative field; or equivalent early-career experience
• Strong academic performance or demonstrated excellence through research, projects, internships, competitions, or open-source contributions
• Proficiency in Python and some experience building APIs or services (e.g., REST/gRPC), or comparable project-based experience
• Experience building complex, multi-stack generative AI programs from conception through production
• Exposure to retrieval and search systems (e.g., vector search, hybrid retrieval, reranking) and familiarity with structured and unstructured data stores
• Exposure to agentic patterns (context management, tool integration, orchestration, memory/state handling); hands-on experience preferred
• Strong engineering practices: testing, code review, version control, CI/CD, and performance profiling
• Excellent interpersonal and communication skills; interest in applying AI to real-world business problems in a client-facing environment

Successful interns may be considered for full-time offers to begin based on availability / graduation date.

WORKING MODE & TRAVEL

• This role requires in-person collaboration, and you must be based in (or open to working from) New York or San Francisco
• You’ll need to co-locate with your team at least three days a week, whether that’s in a Bain office or at a client site, which may require travel