AI Engineering Intern (Summer 2027)

AI ENGINEERING INTERN – SUMMER 2027 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 YOU’LL DOContribute to the design and development of GenAI applications (e.g., copilots, workflow automation, decision support) using modern LLM stacksSupport the implementation of AI pipelines and components, including:Retrieval-Augmented Generation (RAG)Fine-tuning and parameter-efficient tuningEmbedding generation and optimizationHybrid retrieval strategies (vector, graph, keyword)Assist in implementing tool use, function calling, and orchestration across AI workflowsAssist in building agent capabilities including context engineering, memory and state management, orchestration, and tool integrationSupport model experimentation, evaluation design, and production deployment tasks alongside senior team membersWrite clean, testable code and contribute to APIs and services through the full SDLC: build, test, deploy, monitor, iterateContribute to evaluation and observability for GenAI systems: regression test suites, automated scoring, and prompt or policy iteration loopsGain exposure to responsible AI practices across system design, including:Implementing guardrails, fallbacks, and human-in-the-loop (HITL) workflowsUnderstanding Bain’s Responsible AI standards and supporting alignment in your workContribute to evaluation harnesses and reusable components that scale across client contextsContribute to ML solutions end-to-end, including:Data preparation, feature engineering, model selection, and trainingValidation, testing, and performance analysisApplying appropriate ML methods spanning classical ML and deep learningDeveloping working knowledge of transformer fundamentals and LLM conceptsCollaborate with product, engineering, and data science teammates to build well-structured, reliable AI systemsCommunicate clearly in working sessions, demos, and documentation—with both technical and non-technical audiencesSupport client discussions and documentation as part of broader engagement teams WHAT WE’RE LOOKING FOR:0–2+ years of professional AI / ML engineering experience, or equivalent through internships, research, academic projects, or open-source contributionsCurrently 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 experienceStrong academic performance or demonstrated excellence through research, projects, internships, competitions, or open-source contributionsProficiency in Python and some experience building APIs or services (e.g., REST/gRPC), or comparable project-based experienceExperience building complex, multi-stack generative AI programs from conception through productionExposure to retrieval and search systems (e.g., vector search, hybrid retrieval, reranking) and familiarity with structured and unstructured data storesExposure to agentic patterns (context management, tool integration, orchestration, memory/state handling); hands-on experience preferredStrong engineering practices: testing, code review, version control, CI/CD, and performance profilingExcellent 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 & TRAVELThis role requires in-person collaboration, and you must be based in (or open to working from) New York or San FranciscoYou’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