We are looking for an experienced Senior Data Engineer to build and manage enterprise-scale Knowledge Graphs, AI Retrieval Systems, and Data Platforms that power next-generation AI agents. The ideal candidate will have solid expertise in Graph Databases, Data Engineering, RAG Architecture, Entity Resolution, and Regulated Data Management.

Responsibilities:
Design, develop, and maintain enterprise-scale Knowledge Graphs and semantic data models.
Build entity resolution frameworks for matching customers, organizations, claims, policies, and accounts across multiple systems.
Develop scalable data ingestion and transformation pipelines from various client systems.
Implement Graph Retrieval and Graph-RAG solutions for AI agents.
Build and optimize vector search, hybrid search, embedding pipelines, and reranking frameworks.
Ensure data quality, lineage, governance, monitoring, and auditability.
Design permission-aware retrieval systems with tenant isolation and document-level security.




Develop agent memory and retrieval frameworks supporting episodic and precedent memory.
Collaborate with AI, Product, and Platform teams to establish common data contracts and standards.
Optimize performance across PostgreSQL, Neo4j, ClickHouse, and vector search platforms.

Mandatory Requirements:
10+ years of Data Engineering experience.
Robust hands-on expertise in Python and SQL.
Proven experience with Neo4j or similar Graph Database.
Robust understanding of Knowledge Graphs, Ontologies, and Graph Query Languages.
Experience designing and operating RAG (Retrieval-Augmented Generation) platforms.
Hands-on experience with Embeddings, Vector Search, Hybrid Search, and Reranking.
Experience building large-scale ETL/ELT pipelines.
Knowledge of Data Governance, PII/PHI compliance, and data security controls.
Experience with Kubernetes-based deployments and cloud-native architectures.

📌 Senior Data Engineer Ai Retrieval Platforms Hyderabad
🏢 Capgemini
📍 Hyderabad