Remote Knowledge Graph Architect for AI-Driven Construction

Eliassen Group

Lincoln (NE)

Remote

USD 138,000 - 165,000

Part time

4 days ago
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Benefits offered by this job

Medical, Dental, Vision benefits
401k with company match
Life insurance

Job summary

Eliassen Group seeks a Knowledge Graph Architect for a remote, contract assignment. You will lead the architecture and technical strategy for an enterprise knowledge graph and AI knowledge platform, integrating data across estimating, scheduling, costs, and field execution to enable GraphRAG and AI agents.

Candidates should have hands-on experience with ontologies, semantic modeling, graph databases, and standards such as IFC and buildingSMART. W2 benefits offered.

Qualifications

  • Strong experience in knowledge graph architecture, ontology development, semantic architecture, knowledge engineering, enterprise/data architecture, or AI/ML architecture.
  • 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, disparate enterprise data sources.
  • Ability to translate complex business and operational concepts into scalable technical architectures.
  • Strong communication skills and ability to work across technical teams and SMEs.

Responsibilities

  • Architect and develop an enterprise ontology and knowledge graph for complex construction and project data.
  • Define relationships across projects, activities, estimates, schedules, cost codes, crews, equipment, quantities, production rates, risks, changes, and outcomes.
  • Evaluate and incorporate relevant standards, including IFC, buildingSMART, LandInfra, and semantic web standards.
  • Integrate enterprise data from multiple operational and project systems into the knowledge architecture.
  • Design and guide GraphRAG, LazyGraphRAG, RAG, and AI agent architectures.
  • Establish standards for ontology governance, provenance, entity resolution, cross-system mappings, and knowledge quality.
  • Partner with domain SMEs, enterprise architecture, data engineering, AI engineering, and technology teams.
  • Design experiments to evaluate whether structured enterprise knowledge improves AI answer quality compared with traditional RAG and LLM approaches.

Skills

Knowledge graph architecture
Ontology development
Semantic architecture
Knowledge engineering
Enterprise/data architecture
AI/ML architecture
RAG/GraphRAG understanding
LLMs and AI agents
Data integration
Communication

Education

Bachelor's degree or equivalent

Tools

Graph databases

Job description

Eliassen Group seeks a Knowledge Graph Architect for a remote, contract assignment. You will lead the architecture and technical strategy for an enterprise knowledge graph and AI knowledge platform, integrating data across estimating, scheduling, costs, and field execution to enable GraphRAG and AI agents.

Candidates should have hands-on experience with ontologies, semantic modeling, graph databases, and standards such as IFC and buildingSMART. W2 benefits offered.

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