Remote Knowledge Graph Architect for AI-Driven Construction

Eliassen Group; Pierre (SD); Remote; USD 138,000 - 165,000; Full time

Job summary

Eliassen Group is seeking a Knowledge Graph Architect to lead architecture and technical strategy for a construction-focused ontology and AI knowledge platform. The role connects historical project data to enable AI, GraphRAG, and LLM-based applications.

The candidate will design enterprise knowledge graphs, govern ontologies, and collaborate across data engineering, AI teams, and business SMEs to deliver scalable solutions remotely.

Qualifications

• Strong experience in knowledge graph architecture.
• Experience with ontologies and semantic modeling.
• Ability to translate complex data concepts into scalable architectures.

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 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, 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 vs. traditional RAG/LLM approaches.

Skills

Knowledge graph

Ontology development

Semantic architecture

Knowledge engineering

Enterprise / data architecture

AI / ML architecture

Job description

Eliassen Group is seeking a Knowledge Graph Architect to lead architecture and technical strategy for a construction-focused ontology and AI knowledge platform. The role connects historical project data to enable AI, GraphRAG, and LLM-based applications.

The candidate will design enterprise knowledge graphs, govern ontologies, and collaborate across data engineering, AI teams, and business SMEs to deliver scalable solutions remotely.