Senior Graph AI Platform Engineer

Evolve Esolutions LLC

Dallas (TX)

On-site

USD 160,000 - 210,000

Full time

2 days ago
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Job summary

Evolve Esolutions LLC seeks a senior Graph AI Platform Engineer to design and govern a specialized graph technology stack, distinct from GenAI generalist roles. The candidate will focus on production-grade graph databases (Neo4j/TigerGraph), graph neural networks, and ontology modeling within fraud/risk or knowledge-management contexts.

The role demands setting architecture standards, collaborating with ML engineers, and guiding a small expert team to advance graph representations and

Qualifications

  • Deep graph database expertise with production experience in Neo4j or TigerGraph
  • Graph ML background with GNNs, DGL or PyTorch Geometric
  • Ontology/semantic modeling using RDF/OWL
  • Knowledge engineering focus; graph expertise prioritized over GenAI generalism
  • 8+ years signals seniority and architecture/standards leadership
  • Background in fraud/risk/cybersecurity or knowledge management domains

Responsibilities

  • Set architecture and engineering standards for the graph platform
  • Lead design and implementation of graph ML models and embeddings
  • Collaborate with ML and data teams to integrate graph representations into pipelines
  • Evaluate and adopt GraphRAG approaches as a potential capability
  • Mentor junior engineers and align stakeholders on graph technology roadmaps

Skills

Neo4j
TigerGraph
Knowledge graph
GNN
DGL
PyTorch Geometric
Graph embeddings
Ontology modeling
RDF
OWL

Tools

Neo4j
TigerGraph
GSQL
RDF
OWL

Job description

Evolve Esolutions LLC seeks a senior Graph AI Platform Engineer to design and govern a specialized graph technology stack, distinct from GenAI generalist roles. The candidate will focus on production-grade graph databases (Neo4j/TigerGraph), graph neural networks, and ontology modeling within fraud/risk or knowledge-management contexts.

The role demands setting architecture standards, collaborating with ML engineers, and guiding a small expert team to advance graph representations and

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