HIRING | KNOWLEDGE ENGINEER – AWS & KNOWLEDGE GRAPH

Location: Bengaluru
Experience: 6-8 years
Role: Knowledge Engineer / Senior Engineer
Work Mode: Bengaluru, BDC7A
Education: 15 Years Full-Time Education
CTC : 17 LPA

ROLE OVERVIEW

We are looking for a Knowledge Engineer experienced in AWS, Knowledge Graphs, Semantic AI, Ontologies and AI/LLM solutions to design and lead enterprise-scale knowledge engineering initiatives.

MUST-HAVE SKILLS

AWS Big Data
Knowledge Graph & Semantic Modeling
Amazon Neptune / Neo4j / Graph Databases
RDF, SPARQL, OWL, SHACL, LPG
Ontology, Taxonomy & Schema Management
Python, SQL, PySpark
AWS S3, Glue, Lambda, EMR, Redshift, Athena
OpenSearch, Bedrock, SageMaker
Data Engineering & ETL/ELT Pipelines
LLM Grounding, RAG & Semantic Search

KEY RESPONSIBILITIES





• Design scalable AWS-based Knowledge Graph and semantic solutions
• Build graph ingestion pipelines, semantic layers, vector integrations and RAG solutions
• Develop ontologies, schemas, taxonomies and knowledge curation frameworks
• Collaborate with architects, AI engineers, data engineers and business stakeholders
• Lead technical workstreams and mentor engineering teams
• Support solution shaping, client discussions and pre-sales activities

Valuable to Have: AWS Certifications, BFSI/Healthcare/Retail/Telecom/Manufacturing domain experience, Azure/GCP exposure and client-facing consulting experience

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