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Knowledge Graph Architect Jobs in Colorado (NOW HIRING)

Solution Architect - AI & Data

Denver, CO · On-site +1

$64.75 - $85.50/hr

Advise on the strategic application of knowledge graph concepts, semantic technologies, and ontological frameworks (RDF, SPARQL) to enterprise data and AI use cases. * Shape data architecture ...

Solution Architect - AI & Data

Denver, CO · On-site

$64.75 - $85.50/hr

Advise on the strategic application of knowledge graph concepts, semantic technologies, and ontological frameworks (RDF, SPARQL) to enterprise data and AI use cases. * Shape data architecture ...

Solution Architect - AI & Data

Denver, CO · On-site

$173.20 - $270.60/hr

Advise on the strategic application of knowledge graph concepts, semantic technologies, and ontological frameworks (RDF, SPARQL) to enterprise data and AI use cases. * Shape data architecture ...

Knowledge Modeler / Ontologist Manager

Denver, CO · On-site

$56.25 - $73/hr

Apply and uphold established naming conventions, URI strategies, and modular ontology architecture ... Collaborate with knowledge graph hydration, testing, and validation against competency questions ...

... a persistent knowledge graph of clients and holdings, analyzes portfolio exposures and risk ... Architect a scalable multi-agent platform on LangGraph-style orchestration, with agent memory and ...

... architecture. • Strong experience with multimodal LLMs, knowledge graph, data synthesis, LLM fine tuning, reinforcement learning, agent harness, agent memory. • Deep proficiency in Python and ...

AI Engineering, TIFIN.ai

Boulder, CO · On-site

$128K - $168K/yr

Our AI Engineers architect, build, and operationalize these systems at scale, pushing the ... Strong experience with RAG, agent memory, knowledge graphs and graph databases, and LLM fine-tuning

Senior Sales Engineer

Silverthorne, CO · On-site

$130 - $150/hr

Architect and present solutions: Design reference architectures for cloud, on‑prem, hybrid, and ... Hands‑on experience with knowledge graph platforms (e.g., Neo4j, Stardog) or ontology frameworks ...

Senior Data Architect

Denver, CO · On-site

$69.25 - $92.75/hr

Knowledge of data governance, data privacy, and compliance (e.g., GDPR ... Handson experience with at least one NoSQL database (e.g., keyvalue, document, graph, or column ...

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Knowledge Graph Architect information

What is a knowledge graph architect?

Knowledge Graph Architects are professionals who design, develop, and maintain knowledge graphs—data structures that organize information into interconnected entities and relationships. They combine expertise in data modeling, semantic technologies, and ontologies to enable advanced data integration, search, and analytics within organizations. Their work helps businesses extract meaningful insights from complex datasets by structuring information in ways that are both machine-readable and semantically rich.

What are the key skills and qualifications needed to thrive as a knowledge graph architect?

To thrive as a Knowledge Graph Architect, you need expertise in data modeling, semantic technologies, graph databases, and a strong background in computer science or information systems. Familiarity with tools like RDF, SPARQL, OWL, Neo4j, and experience with data integration platforms or cloud-based data services is highly valuable. Strong problem-solving, communication, and stakeholder management skills are essential to translate complex data needs into scalable knowledge graph solutions. These competencies enable effective design, implementation, and maintenance of knowledge graphs, which are critical for deriving actionable insights from complex data landscapes.

What are some typical challenges knowledge graph architects face when integrating data from diverse sources?

Knowledge Graph Architects often encounter challenges related to data heterogeneity, including varying data formats, inconsistent naming conventions, and differing semantics across multiple systems. Successfully integrating these disparate data sources requires designing robust ontologies, mapping relationships, and resolving conflicts to ensure data consistency and usability. Collaboration with domain experts, data engineers, and business stakeholders is essential to align technical solutions with business needs, making strong communication skills and adaptability crucial in this role.

What are popular job titles related to Knowledge Graph Architect jobs in Colorado?

For Knowledge Graph Architect jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Knowledge Graph Architect jobs in Colorado look for?

The top searched job categories for Knowledge Graph Architect jobs in Colorado are:

What cities in Colorado are hiring for Knowledge Graph Architect jobs?

Cities in Colorado with the most Knowledge Graph Architect job openings:

Platform Product Manager, Ontology & Knowledge Graph

Vizient

Englewood, CO • On-site

$77K/yr

Full-time

Posted 22 days ago


Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Summary:

In this role, you will independently own defined capabilities within the Knowledge & Semantic Platform that enable AI-powered products and consistent intelligence delivery across the organization. You will partner closely with engineering and internal clients to define and evolve the operating layer beneath the platform, including ontology, knowledge graph, metadata, entity relationships, taxonomy, and semantic models. You will manage the product backlog and roadmap for assigned platform capabilities while working in an AI-first product delivery model, leveraging AI tools to accelerate discovery, requirements development, communication, validation, and delivery support.

Responsibilities:

  • Own the product backlog and near-term roadmap for assigned Knowledge & Semantic Platform capabilities, including ontology, knowledge graph, taxonomy, metadata management, semantic modeling, and related platform services.
  • Conduct discovery with internal clients to understand business concepts, workflow needs, data relationships, AI use cases, and opportunities to improve semantic consistency and intelligence delivery.
  • Define product requirements, user stories, acceptance criteria, semantic models, entity relationships, metadata standards, prompt and context artifacts, and validation approaches that enable scalable AI-driven solutions.
  • Partner with engineering leads, architects, AI Delivery, data engineering, security, and design teams to translate business concepts into reusable semantic platform capabilities.
  • Balance delivery priorities across internal client needs, engineering capacity, architecture direction, governance requirements, data stewardship practices, and emerging AI-assisted development opportunities.
  • Collaborate with teams using agentic coding tools, AI-assisted development environments, and AI-supported testing, documentation, and validation workflows to improve delivery quality and speed.
  • Support implementation planning, release readiness, documentation, validation, and adoption activities while promoting consistent semantic standards and reusable platform capabilities.
  • Use metrics, operational insights, client feedback, and AI-supported synthesis to refine backlog priorities and continuously improve ontology, metadata quality, semantic relationships, and platform adoption.
  • Create guidance, demonstrations, communications, and enablement resources that help internal teams effectively leverage semantic platform capabilities, knowledge graph assets, and AI-first development practices.
  • Identify opportunities to improve metadata quality, semantic consistency, data stewardship, self-service, and reusable knowledge assets that enhance AI-enabled products and retrieval-augmented generation (RAG) capabilities.

Qualifications:

  • Relevant degree preferred.
  • 2 or more years of relevant experience required.
  • Typically possesses 3-5 years of relevant experience in product management, product ownership, enterprise platforms, knowledge management, semantic technologies, AI-enabled products, or platform enablement.
  • Experience working with ontology, knowledge graphs, taxonomy, semantic modeling, metadata management, graph databases, or related knowledge management technologies preferred.
  • Experience partnering with engineering and data teams to translate business concepts into scalable semantic models, entity relationships, and reusable platform capabilities.
  • Familiarity with AI-enabled applications, retrieval-augmented generation (RAG), large language models, or other AI technologies that leverage structured knowledge and semantic data preferred.
  • Demonstrated experience using AI tools such as Codex/ChatGPT, Claude Code/Co-Work, GitHub Copilot/Copilot Studio, and emerging agentic coding environments to improve product discovery, requirements development, documentation, analysis, and communication.
  • Understanding of data stewardship, metadata governance, healthcare data concepts, and semantic consistency principles preferred.
  • Strong analytical, communication, collaboration, and stakeholder management skills with the ability to drive adoption, reuse, quality, and measurable business value across platform capabilities.

Estimated Hiring Range:

At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $77,400.00 to $135,400.00.

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.