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Graph AI Platform Engineer

INGENworksDallas, TX🇺🇸United StatesPosted Sep 17, 2026

Why This Role Stands Out

Advance your career by shaping the future of AI platforms with a leading technology company, where you'll leverage deep graph database and machine learning expertise to build innovative solutions. This role is ideal for experienced engineers with a passion for knowledge graphs and a desire to set architectural standards within a collaborative, on-site environment. Join INGENworks to make a significant impact and grow your specialized skills in a cutting-edge field.

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Dallas, TX, United States
Posted
22 hours ago
Neo4jPyTorch

Job Description

Graph AI Platform Engineer
Location: Dallas, TX(Onsite)
12+ Months
 
search for "Neo4j," "TigerGraph," "knowledge graph," "GNN" — treat as a distinct niche search, not a GenAI keyword search
 
  • Deep graph database expertise: Neo4j and/or TigerGraph in production, GSQL or equivalent query languages
  • Graph ML background: GNNs, DGL or PyTorch Geometric, graph embeddings/representation learning
  • Ontology/semantic modeling experience (RDF, OWL) — this is closer to a knowledge engineering skillset than typical app dev
  • GraphRAG exposure is a bonus, not a requirement — the graph expertise is the hard-to-find part; GenAI integration can be taught
  • 8+ years signals they want someone senior enough to set architecture/standards, likely with prior work in fraud/risk/cybersecurity or knowledge management domains where graphs are common
  • Good fit: a graph database/data engineer with ML leanings, or a research-adjacent engineer who's worked on knowledge graphs — much smaller, more specialized talent pool than the other two roles
 

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