Overview

Bain & Company is a global management consulting firm that helps the worlds most ambitious change makers define the future.

Responsibilities

• 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 retrieval pipelines using embeddings, vector search, metadata filtering, reranking, and other techniques to improve the relevance and quality of LLM-powered applications.
• Support the evaluation and monitoring of AI/LLM solutions using appropriate datasets and metrics to assess retrieval quality, response quality, latency, reliability, and cost.
• Optimize data and AI workloads for performance, scalability, reliability, and cost across development and production environments.
• Implement appropriate data quality, access control, security, privacy, and governance practices in line with Bain's organizational policies and responsible AI standards.
• Collaborate with product managers, data scientists, software engineers, DevOps engineers, and business stakeholders to translate business requirements into scalable technical