COMPANY PROFILE

Bain & Company is one of the top management consulting firms in the world that helps the world’s most ambitious changemakers define the future.

Across 65 cities in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperforming the competition, and redefining industries. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster, and more enduring outcomes.

The firm established several functions in the Indian market early 2000s and its remit across functions has expanded over time. Since 2019, these functions have become part of Global Business Services (GBS). Global Business Services (GBS) is a network of five interconnected business functions hubs across India, Poland, Malaysia, Mexico and Portugal, serving Bain globally to run our business, support other functions, and help drive innovation internally. We are over 1000 business professionals - serving functions in operations, HR, finance, legal, tech, marketing, research, and data analytics - who support our offices globally. Our mantra of “shared innovation, seamless execution,” underpinned by a passion for results, teamwork, and creativity, helps Bain stay at the top of our game operationally.

WHAT MAKES US A EXCELLENT 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 overall 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 workplace in which every individual can thrive professionally and personally.

About Bain AI, Insights & Solutions (AIS)

The impact you’ll have

Bain works with clients on board levels and executive priorities, helping deliver step-change results across growth, productivity, and resilience. In that context, AI is rarely a point solution. The most meaningful outcomes come from building AI as part of an integrated system that combines technology with redesigned processes, operating model changes, and adoption at scale across the organization.

As an AI Engineer in AIS, you will build the technical core of these transformations and work as part of broader Bain consulting teams to move solutions from prototype to real adoption. The result is measurable impact at the company or enterprise level and, in many cases, helps clients set new performance standards for their industries.

The Role

While GenAI and agentic AI are the primary focus, you will also draw on data science and ML engineering skills as needed, including building evaluation approaches, working with data pipelines, and developing or integrating ML models when they materially improve performance or reliability.

You will have opportunities to work with major AI ecosystem partners through Bain’s partnerships,



collaborating on real client deployments and helping shape how emerging capabilities are applied in enterprise settings.

Bain offers significant learning and growth opportunities through the breadth and depth of problems we solve, the level of impact we help clients achieve, and our apprenticeship model. You will learn by doing, with support from experienced teammates, frequent feedback, and increasing responsibility over time.

What You’ll Do

- Implement agentic workflows where they add clear value (e.g., tool use, multi-step execution, human-in-the-loop controls), with attention to reliability, safety, and clear failure modes.
- Design and build advanced search, retrieval, and knowledge pipelines across diverse data structures and stores (e.g., hybrid search, vector stores, graph databases/knowledge graphs, and traditional data platforms), covering indexing strategies, metadata design, relevance tuning/reranking, freshness, caching, access controls, and source attribution.
- Build robust agent capabilities including context engineering, memory/state management (short-term and long-term), orchestration, routing, and tool integration patterns.
- Integrate solutions into enterprise environments and workflows (APIs, data systems, collaboration tools), balancing quality, latency, cost, privacy, and adoption.
- Translate ambiguous client needs into explicit technical requirements, tradeoffs, and delivery plans.
- Build ML solutions end-to-end: data preparation, feature engineering, model selection, training, validation/testing, and performance analysis.
- Create reproducible training and evaluation pipelines (versioning, experiment tracking, robust validation, clear documentation).
- Demonstrate fluency with modern deep learning concepts, including tran

📌 Lead, Data Scientist (Delhi)
🏢 Bain E Company
📍 Delhi