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

Positive 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