Remote Knowledge Graph Architect for AI Ontology & GraphRAG

Eliassen Group; Frankfort (KY); Remote; USD 138,000 - 165,000; Full time

Job summary

Eliassen Group seeks 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 supports AI, GraphRAG, LLMs, and agent-based applications.

Qualifications

• Experience with knowledge graphs, ontologies, semantic modeling, or graph databases.
• Ability to translate complex business concepts into scalable architectures.
• Strong communication across technical teams and business SMEs.
• Experience with enterprise data integration and AI/ML workflows.

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 risks.
• Evaluate standards including 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, mappings, and quality.
• Collaborate with domain SMEs, enterprise architecture, data and AI engineering teams.
• Design experiments to test AI answer quality with structured knowledge vs traditional RAG/LLM.

Skills

Knowledge graph architecture

Ontology development

Semantic architecture

Knowledge engineering

Data architecture

AI/ML architecture

Communication skills

Tools

Graph databases

LLM integration

Semantic modeling

Job description

Eliassen Group seeks 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 supports AI, GraphRAG, LLMs, and agent-based applications.