Remote Knowledge Graph Architect Construction AI Ontology

Eliassen Group; Hagåtña (GU); Remote; USD 138,000 - 165,000; Full time

Benefits offered by this job

Medical, Dental, and Vision benefits

401k with company matching

Life insurance

Sick time

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

• Strong experience in knowledge graph architecture, ontology development, semantic architecture, knowledge engineering, enterprise/data architecture, or AI/ML architecture.
• Hands-on experience working 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 both technical teams and business/domain 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.

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.