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