Remote Knowledge Graph Architect for AI-Driven Construction

Eliassen Group

Salem (OR)

Remote

USD 138,000 - 165,000

Full time

4 days ago
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Benefits offered by this job

Medical
Dental
Vision
401k with match
Life insurance

Job summary

Eliassen Group is seeking a Knowledge Graph Architect for a remote contract role to lead the architecture and technical strategy of an enterprise knowledge graph and AI knowledge platform in construction.

You will connect project data across estimating, scheduling, cost, field execution, and lessons learned to support LLM, GraphRAG, and AI agents, while defining governance and interoperability standards.

Qualifications

  • Strong experience in knowledge graph architecture and ontology development.
  • Hands-on experience with knowledge graphs, ontologies, semantic modeling, or graph databases.
  • Understanding of RAG/GraphRAG, LLMs, AI agents, and enterprise data integration.
  • Experience defining relationships and mappings across complex enterprise data sources.
  • Ability to translate complex business concepts into scalable technical architectures.
  • Strong communication skills across technical teams and business SMEs.

Responsibilities

  • Architect and develop an enterprise ontology and knowledge graph for construction and project data.
  • Define relationships across projects, estimates, schedules, cost codes, crews, equipment, and outcomes.
  • Evaluate standards such as IFC, buildingSMART, LandInfra, and semantic web standards.
  • Integrate enterprise data from multiple systems into the knowledge architecture.
  • Design GraphRAG, LazyGraphRAG, RAG, and AI agent architectures.
  • Establish ontology governance, provenance, entity resolution, and data quality standards.
  • Collaborate with domain SMEs, enterprise architecture, data engineering, and AI teams.
  • Design experiments to assess AI answer quality with structured knowledge.

Job description

Eliassen Group is seeking a Knowledge Graph Architect for a remote contract role to lead the architecture and technical strategy of an enterprise knowledge graph and AI knowledge platform in construction.

You will connect project data across estimating, scheduling, cost, field execution, and lessons learned to support LLM, GraphRAG, and AI agents, while defining governance and interoperability standards.

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