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

POSITIVE TO HAVE

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

📌 KNOWLEDGE ENGINEER – AWS & KNOWLEDGE GRAPH (Bengaluru)
🏢 Vrinda International
📍 Bengaluru