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Knowledge Graph Jobs in Oregon (NOW HIRING)

GHX

OR · On-site

$114K - $152K/yr

The Sr Software Engineer focusing on Knowledge Representation will play a key role in maintaining ... They will leverage graph, table, document and vector store capabilities that interact with AI ...

GHX

OR · On-site

$114K - $152K/yr

The Sr Software Engineer focusing on Knowledge Representation will play a key role in maintaining ... They will leverage graph, table, document and vector store capabilities that interact with AI ...

GHX

OR · On-site

$91K - $121K/yr

The Software Engineer 3 focusing on Knowledge Representation will play a key role in maintaining ... They will leverage graph, table, document and vector store capabilities that interact with AI ...

GHX

OR

$91K - $121K/yr

The Software Engineer 3 focusing on Knowledge Representation will play a key role in maintaining ... They will leverage graph, table, document and vector store capabilities that interact with AI ...

Clari + Salesloft

Principal Software Engineer, AI

OR · On-site +1

$134K - $180K/yr

This includes a knowledge graph, RAG and retrieval systems, and the access control and governance infrastructure that sits around them. You will be the technical owner and driver of this platform ...

Glean

Enterprise Account Executive, Southeast

OR · Remote

$260K - $300K/yr

AEs at Glean are responsible for landing and managing multi-million dollar, often global, accounts by leveraging Glean's differentiated AI technology and foundational knowledge graph to deliver ...

Netflix

OR · On-site

Drive collaboration efforts to reduce product friction and increase usability of the Graph Search ... Working knowledge of search engine concepts : index mappings, text analyzers, aliases, data ...

Netflix

OR · On-site

Drive collaboration efforts to reduce product friction and increase usability of the Graph Search ... Working knowledge of search engine concepts: index mappings, text analyzers, aliases, data backfill ...

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Knowledge Graph information

See Oregon salary details

$10

$32

$126

How much do knowledge graph jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for knowledge graph in Oregon is $32.81, according to ZipRecruiter salary data. Most workers in this role earn between $16.78 and $27.45 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.

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 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 the most commonly searched types of Knowledge Graph jobs in Oregon? The most popular types of Knowledge Graph jobs in Oregon are:
What are popular job titles related to Knowledge Graph jobs in Oregon? For Knowledge Graph jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Knowledge Graph jobs in Oregon look for? The top searched job categories for Knowledge Graph jobs in Oregon are:
Knowledge Graph jobs near you
Infographic showing various Knowledge Graph job openings in Oregon as of June 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $68,248 per year, or $32.8 per hour.

Sr Software Engineer - Knowledge Representation (Ontology and ML Engineer)

GHX

OR • On-site

$114K - $152K/yr

Other

Posted 5 days ago

Job description

The Sr Software Engineer  focusing on Knowledge Representation will play a key role in maintaining GHX's position at the forefront of AI solutions in Healthcare.   This role will be responsible for applying modern methods for knowledge representation including ontology creation that interact with intelligent systems to meet the challenges GHX faces in assuring affordable quality healthcare for all. 

This Engineer will define, design and curate the key ontological structures needed in the Health Care Supply Chain using data driven, ML and agentic approaches.   They will leverage graph, table, document and vector store capabilities that interact with AI solutions and make sense of diverse internal and external data.  This is a key strategic role in GHX's AI strategy, assuring correct and complete information while supporting explainability and transparency.  The role will primarily be focused on the design and implementation of ontology and graphical structures that interact with other data stores as well as AI solutions including generative and rule based.  They will join a team that is tasked with leading GHX through a transformational change and solidifying its role as the leader in AI in the Healthcare Supply Chain.

Essential Duties:

  • Collaborate with internal and external stakeholders including users, developers, product managers, leadership, etc., to understand needs and challenges and translate these into solutions.
  • Lead, design & develop scalable structures and databases to capture, store and query structured, semi-structured and unstructured data.
  • Lead, design and maintain ontologies and data architectures to represent complex relationships and entities.
  • Mentor junior engineers.
  • Integrate graph solutions with other data stores and technologies.
  • Leverage LLMs/GenAI and rules engines for data I/O and data curation.
  • Multimodal data handling: incorporate text, images, videos, tables, graphs, rules, etc., into the knowledge representation system.
  • Proactively explore new techniques and emerging trends to drive adoption of new solutions.
  • Develop and maintain software tools to support knowledge representation needs.
  • Implement tools for evaluating and monitoring solution performance.
  • Invent and deploy novel solutions with maintainable APIs, MCP servers, to suit stakeholder needs.
  • Adhere to sound software engineering practices.

Competencies:

  • Solid foundational understanding and application of Computer Science principles.
  • Proficiency in knowledge graph technologies (e.g. RDF, LPG, SPARQL, Cypher)
  • Understanding of data modeling, ontology design, data architecture
  • Familiar with LLMs and other machine learning and agentic solutions.
  • Familiar with all steps of SDLC and software development best practices.
  • Excellent software engineering skills including unit testing, modular problem decomposition, multiple solution integration, etc.
  • Fluent with scripting and query languages.
  • Requires minimal to no supervision.

Required Qualifications and Skills:

  • Minimum 8 years working as a software engineer or data scientist, 6 years with a Master's degree.
  • Expertise with one or more Graph query languages (SPARQL, Cypher, Gremlin) and the associated Graph Databases.
  • Experience with Tabular (SQL), Document (NoSQL), and Vector/Semantic databases and their interactions with Graph DBs.
  • Expertise with Python & SQL.
  • Experience with AWS cloud resources (S3, EC2, ECS, Lambda).
  • Experience with Docker or other container services.
  • Specification and creation of APIs and microservices.

Preferred Qualifications and Skills:

  • Computer Science or hard sciences Bachelors degree.
  • Passion to stay on the cutting edge in knowledge representation solutions.
  • Experience with Generative AI solutions.
  • Sense of humor.

Estimated salary range for this position: $114,000 - $152,000

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