Remote Knowledge Graph Architect for Construction AI

Eliassen Group; Salt Lake City (UT); Remote; USD 138,000 - 165,000; Full time

Benefits offered by this job

Medical, Dental, Vision

401k with match

Life Insurance

Job summary

Eliassen Group is seeking a Knowledge Graph Architect to lead the architecture and technical strategy for a construction-focused ontology, knowledge graph, and AI knowledge platform.

You will connect historical project and operational data across estimating, scheduling, project controls, field execution, equipment, cost, and lessons learned to create a reusable knowledge foundation that can support AI, GraphRAG, LLM, and agent-based applications.

Qualifications

• Experience in building knowledge graphs and ontologies for enterprise data.
• Strong understanding of semantic modeling and data architecture.
• Hands-on experience with graph databases and knowledge graph tooling.
• Familiarity with RAG, GraphRAG, LLMs, and AI agents in enterprise contexts.
• Ability to map complex business data into scalable architectures.
• Excellent collaboration with SMEs and cross-functional teams.

Responsibilities

• Architect an enterprise ontology and knowledge graph for construction and project data.
• Define relationships across projects, estimates, schedules, cost codes, crews, and equipment.
• Incorporate standards such as IFC, buildingSMART, LandInfra, and semantic web standards.
• Integrate enterprise data from multiple systems into the knowledge architecture.
• Design and guide GraphRAG, LazyGraphRAG, RAG, and AI agent architectures.
• Establish ontology governance, provenance, and data quality standards.
• Partner with domain SMEs, enterprise architecture, data and AI teams.
• Design experiments to evaluate AI answer quality vs. traditional methods.

Skills

Knowledge graph architecture

Ontology development

Semantic modeling

Graph databases

RAG / GraphRAG

LLMs / AI agents

Enterprise data integration

Job description

Eliassen Group is seeking a Knowledge Graph Architect to lead the architecture and technical strategy for a construction-focused ontology, knowledge graph, and AI knowledge platform.

You will connect historical project and operational data across estimating, scheduling, project controls, field execution, equipment, cost, and lessons learned to create a reusable knowledge foundation that can support AI, GraphRAG, LLM, and agent-based applications.