Vrinda International Jobs

KNOWLEDGE ENGINEER – AWS & KNOWLEDGE GRAPH

Vrinda International

KNOWLEDGE ENGINEER – AWS & KNOWLEDGE GRAPH

Posted 28 Days Ago

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Bengaluru, Bengaluru Urban, Karnataka, IND

In-Office

2M-2M Annually

Expert/Leader

Edtech • HR Tech • Information Technology • Professional Services

The Role

Build AWS-based knowledge graph, semantic layer, ontology, and AI-enabled data solutions. Develop graph and vector search, LLM grounding, RAG, semantic pipelines, and scalable ETL workflows using services such as Neptune, S3, Glue, Lambda, Step Functions, OpenSearch, SageMaker, and Bedrock. Collaborate with architects, engineers, clients, and delivery teams while supporting proofs of concept, demonstrations, reusable assets, and solutioning. The role also involves integrating generative AI capabilities with enterprise systems and leading knowledge engineering initiatives.

Summary Generated by Built In

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

Skills Required

8-12 years of professional experience
15 years of full-time education
AWS Big Data experience
Experience with Amazon Neptune
Experience with AWS S3, Glue, Lambda, and Step Functions
Experience with OpenSearch, SageMaker, and Bedrock
Knowledge graph and semantic modeling experience
Ontology, schema, and taxonomy management experience
Proficiency in Python, SQL, and PySpark
Experience with RDF, SPARQL, SHACL, and OWL
Experience with Neo4j, Stardog, or Amazon Neptune
Data and ETL pipeline development experience
Experience with LLM, RAG, vector search, and semantic search
Graph RAG or generative AI experience
AWS certification
Cloud exposure to Azure or GCP
Graph RAG and agentic AI experience
NLP, entity resolution, or multimodal AI experience
Client-facing consulting experience

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The Company

10 Employees

Year Founded: 2018

What We Do

Vrinda International is a Chandigarh-based recruitment and education consultancy connecting job seekers and employers through domestic and international IT and non-IT hiring. It also supports students with overseas university admissions, visa applications, education guidance, and test preparation for IELTS, PTE, and other programs. Its tech-enabled talent portal provides job matching and career pathways across India and global markets, alongside staffing partnerships.