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Knowledge Graph Architect Jobs in Oregon (NOW HIRING)

GHX

OR · On-site

$91K - $121K/yr

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 ...

GHX

OR · On-site

$91K - $121K/yr

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 ...

Terzo

Data Scientist

OR · On-site +1

Strong intuition for entity resolution, knowledge graph construction, or graph-based modeling and ... High-impact role with real influence on architecture and technical direction * Complex problems ...

Terzo

OR

Comfortable making architectural decisions with incomplete information * Strong product intuition ... Exposure to graph databases, knowledge graph systems, or commercial ontology modeling * Familiarity ...

Clari + Salesloft

Principal Software Engineer, AI

OR · On-site +1

$134K - $180K/yr

Drive architecture discussions, design and code reviews, and set the technical standard for how ... This includes a knowledge graph, RAG and retrieval systems, and the access control and governance ...

Hitachi

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

Creating architecture and complex designs independently and documenting them * Integrate and test ... Knowledge of: * Signal processing or physics-based modeling * Graph-based reasoning or causal ...

Montefiore

ServiceNow CMBD Analyst

Odell, OR · On-site

... knowledge, analytical and troubleshooting skills, and the ability to collaborate across ... Validate and troubleshoot Discovery, Service Mapping, and Service Graph Connector data integrations

Varsity Tutors

College Computer Science Tutor

Portland, OR · Remote

$18 - $40/hr

Deep knowledge of data structures, algorithms, object-oriented programming, computer architecture ... Ability to explain time complexity analysis, sorting algorithms, graph traversal, memory management ...

Varsity Tutors

College Computer Science Tutor

OR · Remote

$18 - $40/hr

Deep knowledge of data structures, algorithms, object-oriented programming, computer architecture ... Ability to explain time complexity analysis, sorting algorithms, graph traversal, memory management ...

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Knowledge Graph Architect information

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.
What are popular job titles related to Knowledge Graph Architect jobs in Oregon? For Knowledge Graph Architect jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Knowledge Graph Architect jobs in Oregon look for? The top searched job categories for Knowledge Graph Architect jobs in Oregon are:
What cities in Oregon are hiring for Knowledge Graph Architect jobs? Cities in Oregon with the most Knowledge Graph Architect job openings:
Knowledge Graph Architect jobs near you

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

GHX

OR • On-site

$91K - $121K/yr

Other

Posted 19 days ago

Job description

The Software Engineer 3 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.
  • Design & develop scalable structures and databases to capture, store and query structured, semi-structured and unstructured data.
  • Design and maintain ontologies and data architectures to represent complex relationships and entities.
  • 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:

  • Greater than 3 years working as a software engineer or data scientist.
  • 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: $91,000 - $121,000

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