HIRING | KNOWLEDGE ENGINEER – DATABRICKS & AI

Location: Bengaluru

Experience: 6-8 years

Role: Knowledge Engineer / Associate Manager

Work Mode: Work From Office

CTC : 17 LPA

ROLE OVERVIEW

We are looking for an experienced Knowledge Engineer to build enterprise-scale Knowledge Graph, Semantic Layer, Ontology & AI solutions using Databricks and modern AI technologies.

MUST-HAVE SKILLS

Databricks Unified Data Analytics Platform

3+ yrs Knowledge Graph technologies – RDF, SPARQL, OWL, SHACL, LPG

Ontology, taxonomy, semantic & schema modeling

Neo4j / Stardog / Amazon Neptune or equivalent

Python, SQL, Spark/PySpark

Data pipelines, Delta Lake & Unity Catalog

Vector Search, RAG & LLM grounding

NLP, entity extraction & semantic search





Team/workstream leadership experience

KEY RESPONSIBILITIES

• Design scalable Knowledge Graph and semantic AI solutions

- Build Databricks lakehouse pipelines, vector search & RAG solutions
- Develop ontologies, schemas, taxonomies and knowledge services
- Collaborate with architects, AI engineers, data teams & business stakeholders
- Lead technical workstreams and mentor engineers
- Support solution shaping, pre-sales and client engagements

Valuable to have: Cloud (AWS/Azure/GCP), Databricks certifications, Agentic AI & domain experience.

📌 Knowledge Engineer – Databricks & Ai (Bengaluru)
🏢 Vrinda International
📍 Bengaluru