KNOWLEDGE ENGINEER AWS And KNOWLEDGE GRAPH

VRINDA INTERNATIONAL; Bengaluru; On-site; INR 2,070,000 - 2,530,000; Full time

Job summary

VRINDA INTERNATIONAL in Bengaluru is seeking a 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.

You will design and implement AWS-based Knowledge Graphs, ontologies, schemas, mappings and semantic pipelines; develop graph search and LLM grounding; and collaborate with architects, engineers and clients on

Qualifications

• 8-12 years of hands-on experience in knowledge graphs and AWS.
• Proficiency in semantic modeling, ontology, and taxonomy management.
• Strong background in graph databases and ETL pipelines.

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 capabilities with enterprise systems.
• Build scalable data pipelines for AI applications.
• Collaborate with architects, engineers, clients and delivery teams.

Skills

AWS Big Data

Amazon Neptune

S3, Glue, Lambda, Step Functions

OpenSearch, SageMaker, Bedrock

Knowledge Graph & Semantic Modeling

Ontology, Schema & Taxonomy Management

Python, SQL & PySpark

RDF, SPARQL, SHACL/OWL

Neo4j

Data & ETL Pipeline Development

LLM, RAG, Vector & Semantic Search

Graph RAG / Generative AI

Education

15 Years Full-Time Education

Tools

Neo4j

Stardog

Amazon Neptune

OpenSearch

SageMaker

Job description

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

Requirements: