Ontology Engineer — Knowledge Graphs and Agentic AI

Job overview

The Ontology Engineer — Knowledge Graphs and Agentic AI role is onsite in San Jose, CA. Compensation is not specified. The role designs and deploys enterprise AI solutions using knowledge graphs, semantic reasoning and agentic AI. The role exists to build context-aware systems that address enterprise business challenges. It contributes by developing ontology and graph foundations, integrating graph context into AI agents and retrieval, and delivering secure, scalable production solutions connected to enterprise systems.

What you'll do

• Design enterprise knowledge graph architectures using Neo4j and Graphwise
• develop ontologies, taxonomies, entity models and metadata frameworks
• build data ingestion and synchronization pipelines
• implement entity resolution, linking, graph traversal and inferencing
• use graphs as context and memory for agents
• optimize graph schemas and queries
• design and deploy single- and multi-agent systems
• implement agent memory, evaluation, governance, telemetry and monitoring.

What we're looking for

Skills & competencies

ontology engineer

full-time

san jose ca

spark tek

knowledge graphs

neo4j

graphwise

agentic ai

graphrag

rag

python

azure ai

Work arrangement

• Weekend coverage required

Why this role

The posting describes approximately five years of overall experience and at least 2.5 years of hands-on agentic and generative AI experience, with production Neo4j and Graphwise expertise.

About the employer

Spark Tek Inc is hiring for this role. Industry: Computer Systems Design Services. Sector: 54.