Knowledge Graph Architect — Remote AI & Ontology Lead

Eliassen Group; Santa Fe (NM); À distance; USD 138 000 - 165 000; Temps partiel

Résumé du poste

Eliassen Group is seeking a Knowledge Graph Architect to lead architecture and strategy for a construction-focused ontology and AI knowledge platform. This remote, contract role connects data across estimating, scheduling, costs, and field execution to build a reusable knowledge foundation for AI, GraphRAG, LLM, and agent-based apps.

The candidate will design enterprise ontology governance, provenance, and cross-system mappings while collaborating with data engineering, AI, and enterprise

Qualifications

• Strong experience in knowledge graph architecture and ontology development.
• Hands-on work with knowledge graphs, ontologies, semantic modeling, and graph databases.
• Understanding of RAG/GraphRAG, LLMs, AI agents, and enterprise data integration.
• Ability to map complex business concepts to scalable architectures.
• Excellent communication across technical and business domains.

Responsabilités

• Architect and develop an enterprise ontology and knowledge graph for construction data.
• Define relationships across projects, estimates, schedules, costs, and outcomes.
• Incorporate IFC, buildingSMART, LandInfra, and semantic web standards.
• Integrate data from multiple systems into the knowledge architecture.
• Design experiments to evaluate AI question quality vs. traditional approaches.
• Collaborate with SMEs, enterprise architecture, and AI teams.

Connaissances

Knowledge graph architecture

Ontology development

Semantic modeling

Graph databases

AI/ML integration

Enterprise data integration

RAG/LLM concepts

Communication across teams

Outils

OWL/RDF tooling

GraphDB/Neo4j

Semantic standards

Description du poste

Eliassen Group is seeking a Knowledge Graph Architect to lead architecture and strategy for a construction-focused ontology and AI knowledge platform. This remote, contract role connects data across estimating, scheduling, costs, and field execution to build a reusable knowledge foundation for AI, GraphRAG, LLM, and agent-based apps.

The candidate will design enterprise ontology governance, provenance, and cross-system mappings while collaborating with data engineering, AI, and enterprise