Job Description

 HIRING | KNOWLEDGE ENGINEER – AWS & KNOWLEDGE GRAPH 


 Location: Bengaluru
 Experience: 8-12 YEARS
 CTC: ₹23 LPA
 Role: Knowledge Engineer
 Level: Team Lead / Consultant
 Work Mode: As per project requirements
 Education: 15 Years Full-Time Education


 ROLE OVERVIEW

We are looking for a skilled Knowledge Engineer to build scalable Knowledge Graph, Semantic Layer, Ontology, and AI-enabled data solutions using AWS. The role involves hands-on work across graph ingestion, semantic modeling, LLM grounding, vector search, and AI solutions.

 MUST-HAVE SKILLS


 AWS Big Data
 Amazon Neptune
 AWS S3, Glue, Lambda & Step Functions
 OpenSearch, SageMaker & Bedrock
 Knowledge Graph & Semantic Modeling
 Ontology, Schema & Taxonomy Management
 Python, SQL & PySpark
 RDF, SPARQL, SHACL / OWL
 Neo4j / Stardog / Amazon Neptune
 Data & ETL Pipeline Development
 LLM, RAG, Vector & Semantic Search
 Graph RAG / Generative AI


 KEY RESPONSIBILITIES


• Design and develop AWS-based Knowledge Graph solutions
• Build ontology, schema, mapping and semantic pipelines
• Develop graph, vector search and LLM grounding solutions
• Integrate AI/GenAI capabilities with enterprise systems
• Build scalable data pipelines for AI applications
• Collaborate with architects, engineers, clients and delivery teams
• Support POCs, demos, reusable assets and solutioning


 GOOD TO HAVE


 AWS Certification
 Cloud/Azure/GCP exposure
 Graph RAG & Agentic AI
 NLP, Entity Resolution & Multimodal AI
 Client-facing consulting experience





Job Details

Role Level: Executive-Level Work Type: Full-Time
Country: India City: Bengaluru ,Karnataka
Company Website: http://www.vrinda-international.com Job Function: Information Technology (IT)
Company Industry/
Sector:
Human Resources Services

What We Offer


About the Company

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