Knowledge Graph Architect

Description:
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.

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $100.00 to $120.00/hr. w2

JN -52

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.

Recruitment Transparency Notice



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Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
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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 Affirmative 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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