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Knowledge Graph Architect Jobs (NOW HIRING)

Accenture

Knowledge Engineer Specialist

Atlanta, GA

$70K - $205K/yr

Build Knowledge Graph solutions that transform clients' data architecture. * Design, develop, and implement AI and semantic solutions and ensure that all the pieces work together seamlessly * Work ...

Accenture

$70K - $205K/yr

Build Knowledge Graph solutions that transform clients' data architecture. * Design, develop, and implement AI and semantic solutions and ensure that all the pieces work together seamlessly * Work ...

Accenture

Knowledge Engineer Specialist

Seattle, WA

$70K - $205K/yr

Build Knowledge Graph solutions that transform clients' data architecture. * Design, develop, and implement AI and semantic solutions and ensure that all the pieces work together seamlessly * Work ...

Accenture

Knowledge Engineer Specialist

Miami, FL

$70K - $205K/yr

Build Knowledge Graph solutions that transform clients' data architecture. * Design, develop, and implement AI and semantic solutions and ensure that all the pieces work together seamlessly * Work ...

Accenture

Knowledge Engineer Specialist

Houston, TX · On-site

$70K - $205K/yr

Build Knowledge Graph solutions that transform clients' data architecture. * Design, develop, and implement AI and semantic solutions and ensure that all the pieces work together seamlessly * Work ...

Accenture

Knowledge Engineer Specialist

Austin, TX

$70K - $205K/yr

Build Knowledge Graph solutions that transform clients' data architecture. * Design, develop, and implement AI and semantic solutions and ensure that all the pieces work together seamlessly * Work ...

Accenture

Knowledge Engineer Specialist

Los Angeles, CA

$70K - $205K/yr

Build Knowledge Graph solutions that transform clients' data architecture. * Design, develop, and implement AI and semantic solutions and ensure that all the pieces work together seamlessly * Work ...

Accenture

Knowledge Engineer Specialist

Minneapolis, MN

$70K - $205K/yr

Build Knowledge Graph solutions that transform clients' data architecture. * Design, develop, and implement AI and semantic solutions and ensure that all the pieces work together seamlessly * Work ...

Accenture

Knowledge Engineer Specialist

New York, NY

$70K - $205K/yr

Build Knowledge Graph solutions that transform clients' data architecture. * Design, develop, and implement AI and semantic solutions and ensure that all the pieces work together seamlessly * Work ...

Accenture

Knowledge Engineer Specialist

Hartford, OH

$70K - $205K/yr

Build Knowledge Graph solutions that transform clients' data architecture. * Design, develop, and implement AI and semantic solutions and ensure that all the pieces work together seamlessly * Work ...

Accenture

Knowledge Engineer Specialist

Pittsburgh, PA · On-site

$70K - $205K/yr

Build Knowledge Graph solutions that transform clients' data architecture. * Design, develop, and implement AI and semantic solutions and ensure that all the pieces work together seamlessly * Work ...

Accenture

Knowledge Engineer Specialist

Nashville, TN

$70K - $205K/yr

Build Knowledge Graph solutions that transform clients' data architecture. * Design, develop, and implement AI and semantic solutions and ensure that all the pieces work together seamlessly * Work ...

Accenture

Knowledge Engineer Specialist

Columbus, OH

$70K - $205K/yr

Build Knowledge Graph solutions that transform clients' data architecture. * Design, develop, and implement AI and semantic solutions and ensure that all the pieces work together seamlessly * Work ...

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All JobsKnowledge Graph Architect Jobs

Knowledge Graph Architect information

See salary details

$46.5K

$128.8K

$201.5K

How much do knowledge graph architect jobs pay per year?

As of Jun 14, 2026, the average yearly pay for knowledge graph architect in the United States is $128,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $166,000.00 per year, depending on experience, location, and employer.

What are Knowledge Graph Architects?

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 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 the key skills and qualifications needed to thrive as a Knowledge Graph Architect, and why are they important?

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.
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Knowledge Graph Architect jobs near you

Knowledge Engineer Specialist

LTI (Logic Technology Inc.)

Houston, TX • On-site

Full-time

Posted 2 days ago

Job description

Job Summary:
LTI (Logic Technology Inc.) is a company focused on leveraging generative AI and data solutions. They are seeking a Knowledge Engineer Specialist who will lead a team in developing innovative AI and Knowledge Graph solutions, collaborating with various stakeholders to optimize business functions.
Responsibilities:
• You lead a team and provide guidance to explore and implement new methodologies, model building techniques, and cutting-edge algorithms, and applying these techniques with the right architecture to solve real-world problems.
• As needed by the specific problem, you design, evaluate, and maintain ontologies.
• As a significant part of this role, you will be justifying the value of innovative generative AI and knowledge graph approaches in the business problems, and you'll be expected to construct methodologies and data architectures that clearly demonstrate their value.
• You'll also work collaboratively with teams from both the business and technical side, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project development goals.
• Build Knowledge Graph solutions that transform clients’ data architecture.
• Design, develop, and implement AI and semantic solutions and ensure that all the pieces work together seamlessly.
• Work with the project team, team leaders, project delivery leads, and client stakeholders to create stand-out Data & AI offerings powered by graph-based technologies.
• Develop strong relationships with clients and gain the trust of key advisors.
• Make the business case for the semantic layer solution recommended to the client.
• Pitch in on Accenture sales efforts when needed.
• Continue to learn and develop cutting edge Data & AI solutions, especially agentic technologies, provide through leadership on technology trends, new opportunities and innovations, or foreseeable limitations, risks, and concerns.
Qualifications:
Required:
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)
• Minimum of 2 or more of the below Requirements:
• Minimum of 2 years of experience in Knowledge Graph technologies (e.g. RDF, SPARQL, LPG, SHACL)
• Minimum of 2 years of experience with schema design, ontology management, and Knowledge Graph curation.
• Minimum of 2 years of experience in designing and developing knowledge graph solutions and graph-based machine learning models, functional and technical experience required.
• Minimum of 1 end-to-end data pipeline implementation for AI applications, particularly those involving LLMs or similar models, including hands-on design and configuration
• Minimum of 2 year and strong knowledge of relational databases, object stores, graph databases (e.g. Stardog, Neo4J, Amazon Neptune), and vector databases
Preferred:
• 2+ years of hands-on experience with cloud platforms (AWS, Azure, GCP)
• 2+ years of experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow)
• Practical experience with NLP and/or Search techniques
• Prompt engineering, and LLMs for enterprise-scale applications.
• You have team lead experience
• Strong collaboration skills with the ability to work across engineering, research, and product teams across multiple time zones.
• You have external client-facing consulting experience
• Broad experience in diverse ML techniques and agentic systems
Company:
LTI (Logic Technology Inc.) is a privately held information technology consulting firm headquartered in Schenectady, NY. Founded in 1989, the company is headquartered in Cincinnati, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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