Remote Enterprise Knowledge Graph Architect for AI

Eliassen Group; Providence (RI); Remote; USD 138,000 - 165,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with match

Life insurance

Disability 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

• Experience designing and building enterprise knowledge graphs and ontologies.
• Hands-on work with knowledge graphs, ontologies, and semantic modeling.
• Understanding of RAG/GraphRAG, LLMs, AI agents, and data integration.
• Ability to translate complex business data into scalable architectures.

Responsibilities

• Architect and develop an enterprise ontology and knowledge graph for construction and project data.
• Define relationships across projects, estimates, schedules, costs, and outcomes.
• Evaluate standards like IFC, buildingSMART, LandInfra, and semantic web standards.
• Integrate data from multiple systems into the knowledge architecture.
• Design GraphRAG, LazyGraphRAG, RAG, and AI agent architectures.
• Establish ontology governance, provenance, and knowledge quality standards.
• Collaborate with domain SMEs, enterprise architecture, data and AI engineering teams.
• Design experiments to assess AI answer quality with knowledge graphs.

Skills

Knowledge graph architecture

Ontology development

Semantic modeling

Graph databases

RAG / LLM / AI agents

Data integration

Enterprise architecture

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.