About Us:
Bain & Company is a global consultancy that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry. In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services
WHO YOU’LL WORK WITH:
The Retail Center of Expertise collaborates with Bain’s global Retail Practice leadership, client-facing Bain leadership and teams, and with end clients on development and delivery of Bain’s proprietary Retail products and solutions. These solutions aim to answer strategic questions of Bain’s Retail clients relating to category management, COGS optimization, pricing & promotion analytics and customer analytics. You will work as part of the team in Retail CoE comprising of a mix of Director, Managers, Projects Leads, Associates and Analysts on projects ranging from 3 weeks to 6 months. Delivery models on projects vary from working as part of a broader global Bain case team, working independently with a Bain Associate Partner / Partner, or working directly with end clients.
WHAT YOU’LL DO:
- Design, build, and deploy agentic AI systems and LLM-powered applications that automate complex analytical and business workflows for Retail clients.
- Develop and orchestrate multi-agent workflows using frameworks such as LangGraph, LangChain, and the Azure AI Agent Service—integrating tools, memory, and reasoning loops.
- Build and optimize retrieval-augmented generation (RAG) pipelines, combining vector search with Neo4j knowledge graphs and graph databases.
- Engineer, evaluate, and fine-tune prompts and LLMs, implementing guardrails, evaluation harnesses, and human-in-the-loop feedback for accuracy and safety.
- Develop backend APIs and services (Python, FastAPI) to serve AI models and agents into production applications.
- Build pipelines using Docker, CI/CD, and Git for continuous deployment on cloud platforms (Azure / GCP/ AWS).
- Implement observability, logging, and evaluation to monitor model quality, latency, and drift of agentic systems in production.
- Develop complex data transformation queries and workflows using SQL, Pandas, or PySpark to process and manipulate large-scale datasets.
- Collaborate with product managers, software developers, and consulting teams to translate business problems into robust, scalable AI solutions.
The Associate is expected to have a knack for seeking out challenging problems and producing their own ideas, which they will be encouraged to brainstorm with their peers and managers. They should be willing to learn new techniques and be open to solving problems with an interdisciplinary approach. They must have excellent coding skills and should demonstrate a willingness to write modular, reusable, and functional code
ABOUT YOU:
- A Master’s or Bachelor’s degree in Computer Science, Engineering, or a related field is preferred
- 2–4 years of experience in AI engineering, software development, and building and deploying production AI systems.
- Hands-on experience designing agentic AI systems and multi-agent workflows using frameworks such asLangGraph, LangChain, or Azure AI Agent Service.
- Experience developing LLM-powered applications and retrieval-augmented generation (RAG) pipelines with vector databases and embedding-based retrieval.
- Proficiency in Python and building backend APIs (FastAPI) to serve models and agents in production.
- Solid grasp of prompt engineering, model evaluation, guardrails, and responsible-AI practices.
- Experience with Docker, CI/CD, cloud platforms (Azure, GCP or AWS), and Git/GitHub
- Expertise in data transformation and manipulation using Pandas, SQL, or PySpark, with experience handling large- scale datasets.
- Exposure to SQL (Azure, PostgreSQL or Snowflake) and Azure resources such as Redis and Blob Storage.
- Good-to-have: prior exposure to consulting projects or the Retail business domain.
- Good-to-have: prior exposure to frontend development (React/NextJS)
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, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents..
