Graph AI Platform Engineer

Shree Narayani Networking Solutions • Dallas, TX

4d

About The Position

This is a specialized role for a Graph AI Platform Engineer, distinct from general AI roles. The focus is on deep graph database expertise, particularly with Neo4j and/or TigerGraph in production environments, and proficiency in query languages like GSQL. A background in Graph Machine Learning, including GNNs, DGL, or PyTorch Geometric, and experience with graph embeddings/representation learning are essential. Additionally, experience with ontology/semantic modeling (RDF, OWL) is required, aligning with knowledge engineering skills. Exposure to GraphRAG is considered a bonus. The ideal candidate will have 8+ years of experience, indicating a senior level capable of setting architecture and standards, likely with a history in domains like fraud, risk, cybersecurity, or knowledge management where graph technologies are prevalent. This role seeks a graph database/data engineer with ML inclinations or a research-oriented engineer experienced with knowledge graphs.

Requirements

• Neo4j and/or TigerGraph in production
• GSQL or equivalent query languages
• GNNs, DGL or PyTorch Geometric
• Graph embeddings/representation learning
• Ontology/semantic modeling experience (RDF, OWL)
• 8+ years of experience

Nice To Haves

• GraphRAG exposure

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed