Principal Knowledge Graph Architect for Enterprise AI

Teradata; San Francisco (CA); On-site; USD 200,000 - 260,000; Full time

Job summary

Teradata is seeking a world-class Principal Knowledge Graph Engineer to lead architecture, development, and evolution of next-generation knowledge graph platforms at enterprise scale for Teradata Context Engine. You will own strategies at the intersection of graph technologies, semantic modeling, and AI to enable reliable, auditable AI workflows across large data estates.

The role requires building and operating knowledge graphs with billions of nodes and relationships, integrating structured,

Qualifications

• PhD or MS in Computer Science or related field.
• Contributions to widely adopted graph technologies.
• Experience building enterprise GraphRAG platforms.

Responsibilities

• Define and execute the long-term vision for enterprise knowledge graph architecture and graph-enabled AI systems.
• Lead the design of scalable graph platforms supporting billions of nodes and edges across data domains.
• Mentor engineers and influence architecture across the organization.

Skills

Knowledge graphs

Graph technologies

Large-scale systems

Python

Education

PhD or MS in Computer Science

Tools

JanusGraph

Neo4j

Kubernetes

Spark

Job description

Teradata is seeking a world-class Principal Knowledge Graph Engineer to lead architecture, development, and evolution of next-generation knowledge graph platforms at enterprise scale for Teradata Context Engine. You will own strategies at the intersection of graph technologies, semantic modeling, and AI to enable reliable, auditable AI workflows across large data estates.

The role requires building and operating knowledge graphs with billions of nodes and relationships, integrating structured,