AI Architect - Knowledge Graphs

Experience - 8 - 15 years

Salary - 60 Lpa - 95 Lpa

Immediate joiners @ Hyderabad

ON Site - Work from Office

We are looking for an experienced AI Architect with strong expertise in Knowledge Graphs, Graph Database Architecture, Neo4j, Amazon Neptune, Python, and Cloud Technologies to design and implement scalable enterprise solutions.

Key Responsibilities

• Design and implement enterprise Knowledge Graphs and graph database architectures.
• Develop graph data models, schemas, nodes, relationships, and entity mapping frameworks.
• Work with Neo4j, Cypher, Amazon Neptune, and graph query optimization.
• Build graph data ingestion, transformation, entity resolution, and relationship extraction pipelines using Python.
• Optimize graph traversal, indexing, performance, scalability, and security.
• Deploy and integrate graph solutions with cloud platforms and enterprise applications.
• Integrate Knowledge Graphs with LLMs, GraphRAG, and RAG architectures where required.

Required Skills

• Strong hands-on experience in Knowledge Graphs and graph architecture.
• Expertise in Neo4j, Cypher, graph modeling, and graph database design.
• Proficiency in Python for data processing, automation, and API development.
• Experience with Amazon Neptune and familiarity with Gremlin and/or SPARQL.
• Knowledge of cloud platforms such as AWS, Azure, or GCP, including deployment, scalability, and security.
• Understanding of graph algorithms, query optimization, and enterprise data integration.

Good to Have

• Semantic technologies and ontology engineering; RDF, RDFS, OWL, and SPARQL.
• Experience with GraphRAG, LLM integration, and vector databases.
• Familiarity with Docker, Kubernetes, and cloud-native architectures.

Ideal Candidate: A hands-on architect with proven experience building production-grade Knowledge Graph solutions, combining graph architecture, Python development, and cloud deployment expertise.