Data / Retrieval Engineer

Position: Senior Individual Contributor

Experience: 7+ years

Domain: RAG, Enterprise Search, Data Readiness and Retrieval Quality

Openings: 1

Role Overview

We are seeking an experienced Data / Retrieval Engineer to design, build and operate enterprise-grade data ingestion and retrieval capabilities for AI agents and knowledge-search platforms.

The role will focus on transforming enterprise business knowledge into secure, trustworthy and citation-backed context. The engineer will be responsible for improving retrieval quality, grounding, data readiness, latency and operational cost across Retrieval-Augmented Generation and enterprise-search solutions.

Key Responsibilities
Own the data ingestion and retrieval ecosystem supporting enterprise AI agents.
Design and build scalable ingestion pipelines for structured, semi-structured and unstructured data.
Develop indexing solutions using:
Vector retrieval
Keyword search
Hybrid retrieval
Semantic search
Implement document chunking, embedding generation,



metadata enrichment and indexing strategies.
Build reranking, grounding and citation-generation mechanisms to improve response accuracy and traceability.
Convert business documents and knowledge assets into reliable, contextual and reusable data products.
Implement access-aware retrieval based on users, roles, entitlements and source-system permissions.
Apply metadata filtering, document lineage, freshness controls and source-level traceability.
Establish appropriate controls for:
Personally Identifiable Information
Sensitive and confidential data
Data retention
Security and governance evidence
Partner with AI-agent, MCP, application and platform engineers to improve retrieval relevance, grounding, latency and infrastructure cost.
Create retrieval evaluation datasets, including representative queries, expected sources and relevance labels.
Define and monitor retrieval-quality metrics such as REMAIL_AD

📌 Data / Retrieval Engineer Hyderabad
🏢 NTT DATA Business Solutions
📍 Hyderabad