Knowledge Graph Architect

Eliassen Group

Santa Fe (NM)

Remote

USD 138,000 - 165,000

Part time

11 days ago

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Job summary

Eliassen Group is seeking a Knowledge Graph Architect to lead architecture and strategy for a construction-focused ontology and AI knowledge platform. This remote, contract role connects data across estimating, scheduling, costs, and field execution to build a reusable knowledge foundation for AI, GraphRAG, LLM, and agent-based apps.

The candidate will design enterprise ontology governance, provenance, and cross-system mappings while collaborating with data engineering, AI, and enterprise

Qualifications

  • Strong experience in knowledge graph architecture and ontology development.
  • Hands-on work with knowledge graphs, ontologies, semantic modeling, and graph databases.
  • Understanding of RAG/GraphRAG, LLMs, AI agents, and enterprise data integration.
  • Ability to map complex business concepts to scalable architectures.
  • Excellent communication across technical and business domains.

Responsibilities

  • Architect and develop an enterprise ontology and knowledge graph for construction data.
  • Define relationships across projects, estimates, schedules, costs, and outcomes.
  • Incorporate IFC, buildingSMART, LandInfra, and semantic web standards.
  • Integrate data from multiple systems into the knowledge architecture.
  • Design experiments to evaluate AI question quality vs. traditional approaches.
  • Collaborate with SMEs, enterprise architecture, and AI teams.

Skills

Knowledge graph architecture
Ontology development
Semantic modeling
Graph databases
AI/ML integration
Enterprise data integration
RAG/LLM concepts
Communication across teams

Tools

OWL/RDF tooling
GraphDB/Neo4j
Semantic standards

Job description

Knowledge Graph Architect

Anywhere

Type: Contract

Category: Engineer

Industry: Energy

Workplace Type: Remote

Standard Hours: Open

Rate: $100.00 to $120.00/hr. w2

Remote

Our client 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. This role requires expertise in designing and building enterprise knowledge graphs and ontologies applied to modern AI use cases.

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.

Experience Requirements:

  • 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.

About Eliassen Group:

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.

Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affi tive Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.

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