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Knowledge Graph Jobs in Raleigh, NC (NOW HIRING)

Principal Data Scientist I

Raleigh, NC · On-site

$118K - $219K/yr

Knowledge graph integration and graph-enhanced intelligence * Agentic AI architecture, multi-step reasoning, autonomous agent orchestration, and long-running agent design with feedback loops, GenAI

Principal Data Scientist I

Raleigh, NC · On-site

$118K - $219K/yr

Knowledge graph integration and graph-enhanced intelligence * Agentic AI architecture, multi-step reasoning, autonomous agent orchestration, and long-running agent design with feedback loops, GenAI

Principal Data Scientist I

Raleigh, NC · Hybrid

$118K - $219K/yr

Knowledge graph integration and graph-enhanced intelligence * Agentic AI architecture, multi-step reasoning, autonomous agent orchestration, and long-running agent design with feedback loops, GenAI

Principal Data Scientist I

Raleigh, NC · On-site

$118K - $219K/yr

Knowledge graph integration and graph-enhanced intelligence * Agentic AI architecture, multi-step reasoning, autonomous agent orchestration, and long-running agent design with feedback loops, GenAI

Principal Data Scientist I

Raleigh, NC · Hybrid

$118K - $219K/yr

Knowledge graph integration and graph-enhanced intelligence * Agentic AI architecture, multi-step reasoning, autonomous agent orchestration, and long-running agent design with feedback loops, GenAI

Principal Engineer, AI Platform

Cary, NC · On-site

$125K - $167K/yr

Centralized AI Knowledge Base - org-wide memory plane with knowledge graph, deductive reasoning, and hierarchical summarization * Roost - cryptographically signed software distribution and the Claude ...

Principal Data Scientist I

Raleigh, NC · On-site

$118K - $219K/yr

Knowledge graph integration and graph-enhanced intelligence * Agentic AI architecture, multi-step reasoning, autonomous agent orchestration, and long-running agent design with feedback loops, GenAI

Discrete Math Tutor

Raleigh, NC · Remote

$18 - $40/hr

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number theory, recurrence relations, Boolean algebra, algorithms, and formal languages. Ability to explain ...

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number theory, recurrence relations, Boolean algebra, algorithms, and formal languages. Ability to explain ...

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Showing results 1-20

Knowledge Graph information

See Raleigh, NC salary details

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How much do knowledge graph jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for knowledge graph in Raleigh, NC is $30.17, according to ZipRecruiter salary data. Most workers in this role earn between $15.43 and $25.24 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Knowledge Graph position, and why are they important?

To thrive as a Knowledge Graph Engineer, you need strong skills in semantic web technologies, ontology modeling, and data integration, typically supported by a background in computer science or data science. Familiarity with tools like RDF, SPARQL, OWL, and knowledge graph platforms (e.g., Neo4j, GraphDB) is common, and certifications in data engineering or semantic technologies are beneficial. Effective communication, problem-solving abilities, and cross-functional collaboration are valuable soft skills in this field. These competencies are crucial for designing, implementing, and maintaining knowledge graphs that enable advanced data discovery and insights for organizations.

Is ML a high paying job?

Machine Learning (ML) roles, including positions like ML engineer or data scientist, are generally well-paid due to the specialized skills required, such as programming, statistics, and knowledge of algorithms. Salaries tend to be higher than average in tech hubs and often increase with experience, certifications, and proficiency in tools like Python, TensorFlow, or PyTorch.

What is a knowledge graph job description?

A knowledge graph job description typically involves designing, developing, and maintaining knowledge graphs that organize and connect data for improved search, reasoning, and data integration. The role often requires skills in data modeling, graph databases like Neo4j, and understanding of semantic technologies such as RDF and OWL. Professionals in this field may work with data scientists, software engineers, and domain experts to ensure accurate and efficient knowledge representation.

What is a Knowledge Graph job?

A Knowledge Graph job typically involves designing, building, and maintaining structured representations of data that map relationships between entities. Professionals in this role work with technologies like RDF, SPARQL, ontologies, and graph databases to enhance data integration, retrieval, and reasoning. These jobs are common in AI, search, and data science fields, helping organizations improve knowledge discovery and decision-making.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI product executive, often requiring advanced skills in data science, programming, and deep learning. These roles usually involve leadership, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience and impact. Such salaries are rare and generally found in top tech companies or specialized AI firms.

What engineer makes $500,000 a year?

Senior data engineers or machine learning engineers working in high-demand industries such as technology, finance, or AI can earn salaries around $500,000 annually, especially with extensive experience, advanced skills in big data tools, and relevant certifications. Compensation varies based on location, company size, and individual expertise.

What are some typical daily responsibilities of a Knowledge Graph Engineer?

As a Knowledge Graph Engineer, your typical day involves designing and developing ontologies, integrating diverse data sources, and implementing graph-based data models to enhance information accessibility. You may work closely with data scientists, software developers, and business analysts to gather requirements and translate them into scalable knowledge graph solutions. Regular tasks include writing SPARQL queries, performing data mapping, maintaining documentation, and troubleshooting graph data issues. Collaboration and ongoing learning are integral as this field rapidly evolves with new tools and best practices.

What are popular job titles related to Knowledge Graph jobs in Raleigh, NC? For Knowledge Graph jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Knowledge Graph jobs in Raleigh, NC look for? The top searched job categories for Knowledge Graph jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Knowledge Graph jobs? Cities near Raleigh, NC with the most Knowledge Graph job openings:
Infographic showing various Knowledge Graph job openings in Raleigh, NC as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $62,748 per year, or $30.2 per hour.
Semantic Solutions Architect (Remote)

Semantic Solutions Architect (Remote)

TopQuadrant

Raleigh, NC • On-site, Remote

Full-time

Posted 26 days ago


Job description

Our growing professional services team is looking for highly motivated full stack architects / developers/ consultants familiar with semantic technologies. Candidates should have experience or strong interest in working with Knowledge Graph technologies. The ideal candidate should excel at discerning the essence of complex problems and be creative in formulating solutions that use or extend the capabilities of our product and technology stack. Working for TopQuadrant brings you the opportunity to use cutting edge approaches ranging from semantic Knowledge Graphs systems (RDF, SHACL) to JavaScript/React, GraphQL, and other programming (Scala/Python/Java).


Semantic Solutions Architects work on customer projects that use our flagship product TopBraid Enterprise Data Governance (EDG) and the Linked Data standards it is based on to implement information management solutions. The role requires a person with strong skills for analyzing customer requirements and defining the appropriate solution design that considers all the required configurations and customizations of TopBraid EDG. Assisting customers with implementation activities is also a required skill.


The right candidate is a self-starter and quick learner interested in working with Knowledge Graph technologies to solve customer information management problems. Strong communication and interpersonal skills are required for close collaboration with customers, with our product development team located in Raleigh and with other TQ colleagues who are distributed across the US and Europe. Occasional travel will be required to customers throughout North America and Europe. However, most of the work will be performed remotely from TQ offices or a home office.


What you’ll be doing:

  • Working with customers and other TQ consultants to understand requirements, assess them against product capabilities; and design approaches for configuring product capabilities to fully meet customer requirements.
  • Utilizing GraphQL, SPARQL and scripting technologies for developing services, data transformations and rules. 
  • Testing performance of data models, queries and algorithms.
  • Documenting deliverables and educate customers on their use of TopBraid EDG through product trainings and workshops, knowledge transfer and mentoring

What we’re looking for:

Required Technical Skills and Qualifications

  • 3+ years software development experience, with skills in software engineering practices including version control using GitHub
  • Working knowledge of: HTML, CSS, JSON, JavaScript as a programming language
  • Understand template-driven application development to work with our semantic platform
  • Experience integrating full stack solutions with other enterprise infrastructure components 

Communication Skills and Work Habits

  • Strong interpersonal skills and customer presence
  • Ability to work well independently as part of a distributed team
  • Excellent communication skills, both oral and written
  • Excellent analytical and problem-solving skills
  • Ability to effectively prioritize and execute tasks in a fast-paced environment
  • Creativity in dealing with loosely defined requirements
  • Willingness to travel occasionally

Bonus:

  • Experience in developing semantic models using SHACL or RDFS/OWL/SPARQL to address customer requirements
  • Practical understanding and experience implementing data governance/information management solutions
  • Experience with Java and/or Scala
  • Experience with GraphQL
  • Experience using JS libraries such as React, jQuery and Bootstrap
  • Experience using machine learning technologies
  • Experience with RDBMS such as Oracle or MySQL
  • Previous work with rules and rule-based system
  • Experience conducting training sessions
Working at TopQuadrant is best exemplified by our values:

  • Possibility (aka the “Why Not” mentality): We embrace new ideas and ways of thinking because we never let an opportunity to “level up” pass us by. Piloting and testing good ideas will keep us learning. In general, moving faster is better.
  • Humility (aka “Gate check your baggage”): Best ideas win. We check our assumptions and our egos at the door. Titles, the “the way things were,” or “should have been” just don’t matter. The best ideas focus on the greater good. When in doubt, customers (and customer value) knows best.
  • Ownership: Finish lines matter. We expect ourselves and each other to step up and own processes and outcomes to completion. We give credit, let decision makers decide, ask for and give feedback, point fingers inward first, examine every cost, and never make excuses because that’s what makes great teams great.
  • Partnership: Customers value us because we provide them with superpowers they’ve never had. We do not simply provide a product or service, we engage as equal partners in their solution. We influence the outcome and express our expertise and opinions unapologetically. And when we succeed, we share in the value we deliver because we value our time, our technology, and ourselves.
  • Teamwork:  Be the person you’d want to work with. Build each other up.