Graph AI Platform Engineer

Dallas, TX, US • Posted 1 day ago • Updated 1 day ago
Contract Independent
Contract W2
Contract Corp To Corp
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Neo4j
  • Artificial Intelligence
  • Cyber Security
  • Fraud
  • Generative Artificial Intelligence (AI)
  • Graph Databases
  • Knowledge Management
  • Machine Learning (ML)
  • Modeling
  • OWL
  • PyTorch
  • Research
  • Resource Description Framework
  • Semantics

Summary

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
 
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91008924
  • Position Id: 9088144
  • Posted 1 day ago
Contact the job poster
LC

Leena Chakka

Recruiter @ INGENworks
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