Associate- AI Data Engineer(PEG)
Bain & Company
- Location
- New Delhi
- Work model
- On-Site
- Level
- Entry
- H-1B history
- 27 approvals (FY2023)
Skills
About this role
Description & Requirements
About us
Bain & Company is a global management consulting firm 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 will work with BCN Private Equity Group CoE at Bain & Company provides specialized support to global teams across the private equity value chain, enabling clients to make key investment decisions. Our expertise lies in addressing critical diligence questions through a range of products such as survey analytics, digital diagnostics, workforce analytics, and disruption assessment. Our teams work in a fast-paced environment delivering consistent and impactful results at scale. In the last decade, we have witnessed an exponential growth, reaching >250 members today from ~10 members in 2013. We operate from 4 locations – 2 in India, 1 in Poland, and 1 in Mexico, and operate across all 3 regions (EMEA, Americas and APAC). BCN PEG provides an opportunity to solve challenging business problems in a dynamic set-up working closely with global Bain teams, acting as a thought-partner with daily deliverables. BCN PEG Alpha is a specialized team within BCN PEG that brings together the unique combination of deep PEG product and sector expertise with cutting-edge tech capabilities in generative/agentic AI and heavy data analytics. It delivers enterprise-scale Bain proprietary tools and data assets, from ideation to final product delivery. The PEG Alpha team has developed a portfolio of multiple leading products spanning multiple sectors and workstreams. One of its major focus areas is supporting the Global Bain Survey CoE by automating the end-to-end primary research workflow, with dedicated products at each stage, from selecting the right approach and panels, to fielding, validating, analyzing and visualizing survey data. What you’ll do As an Associate Data/AI Engineer at PEG Alpha, you will design, build, and maintain scalable data and AI solutions that address complex business challenges. You will apply your data engineering, software engineering, and AI/ML expertise to develop robust data pipelines, intelligent applications, and reusable platform components that enable cross-functional engineering teams to deliver reliable, secure, and scalable products. Build and maintain data models, schemas, transformation layers, and reusable data components that support analytics and AI-enabled applications. Develop and integrate AI/LLM-based capabilities such as Retrieval-Augmented Generation (RAG), semantic search, information extraction, summarization, copilots, and agentic workflows. Build robust ingestion, transformation, validation, and enrichment pipelines to prepare enterprise data for analytics, machine learning, and GenAI use cases. Work with relational, NoSQL, analytical, and vector databases to support application, analytics, and AI workloads. Develop APIs, services, and reusable components that enable applications and AI systems to securely consume data and model capabilities. Implement