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Knowledge Graph Architect Jobs in Idaho (NOW HIRING)

Working knowledge of RESTful API design and consumption, SQL databases, and web application architecture. * Experience with Azure Entra ID (SSO/OAuth/SAML) and Microsoft Graph API. * Ability to work ...

Working knowledge of RESTful API design and consumption, SQL databases, and web application architecture. * Experience with Azure Entra ID (SSO/OAuth/SAML) and Microsoft Graph API. * Ability to work ...

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

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 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?

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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What cities in Idaho are hiring for Knowledge Graph Architect jobs? Cities in Idaho with the most Knowledge Graph Architect job openings:

Solutions Engineer

myspss

Paul, ID • On-site

Full-time

Posted 29 days ago


Job description

This is a full-time position with a typical schedule of Monday - Friday, 8:00AM - 4:30PM. Work is primarily performed on-site in the San Diego, CA office. 

Job Summary: The Solutions Engineer serves as a hands-on builder at the intersection of software development, AI integration, and operational strategy. This role is responsible for designing, developing, and deploying intelligent internal applications that leverage large language models (LLMs) and modern development frameworks to streamline workflows, reduce manual overhead, and drive measurable efficiency gains across the organization.

The ideal candidate is a self-directed problem-solver who moves comfortably between writing production code, evaluating emerging AI capabilities, collaborating with operations stakeholders, and maintaining the systems they build - all in service of making the organization faster and smarter.

Duties and Responsibilities: 

Application Development & Engineering

  • Design and build full-stack internal web applications using PHP, Python, JavaScript, or similar languages, following modern software architecture patterns.
  • Develop and maintain APIs, microservices, and integrations that connect internal systems with third-party platforms.
  • Ensure code quality through documentation, version control (Git), and peer review practices.

 

LLM & AI Integration

  • Integrate large language model APIs (e.g., OpenAI GPT-5, Anthropic Claude) into internal tools to enable intelligent automation, natural language interfaces, and AI-assisted workflows.
  • Prompt engineer and iterate on system prompts, context management strategies, and output parsing to ensure reliable, production-grade AI behavior.
  • Evaluate emerging LLM capabilities and recommend adoption where they deliver clear operational value.

 

Operational Efficiency & Process Automation

  • Partner with department leaders and end users to identify high-friction workflows and translate them into scoped software solutions.
  • Automate repetitive, manual, or error-prone operational processes through intelligent tooling and workflow orchestration.
  • Instrument applications with reporting and analytics to surface usage patterns and quantify efficiency improvements.

 

Systems Integration & Infrastructure

  • Build integrations with enterprise platforms including Microsoft 365, SharePoint, Azure Active Directory, and third-party SaaS tools via REST APIs and Microsoft Graph.
  • Deploy and manage applications on IIS/Windows Server and cloud environments, maintaining security, uptime, and performance.
  • Collaborate with IT and infrastructure teams to ensure deployed solutions meet organizational security and compliance requirements.

 

Stakeholder Collaboration & Communication

  • Translate ambiguous business problems into clear technical requirements and project scopes.
  • Communicate development progress, architectural decisions, and trade-offs to non-technical stakeholders in plain language.
  • Provide training and documentation to support end-user adoption of newly deployed tools.
 Qualifications

Required

  • 3+ years of experience in software development, solutions engineering, or a related technical role.
  • Proficiency in one or more server-side languages (PHP, Python, Node.js) and front-end technologies (HTML, CSS, JavaScript).
  • Demonstrated experience integrating and deploying LLM/AI APIs in production applications.
  • Working knowledge of RESTful API design and consumption, SQL databases, and web application architecture.
  • Experience with Azure Entra ID (SSO/OAuth/SAML) and Microsoft Graph API.
  • Ability to work independently, manage multiple concurrent projects, and deliver without heavy oversight.

Preferred

  • Experience deploying PHP or ASP.NET applications on IIS/Windows Server.
  • Familiarity with AI prompt engineering techniques, RAG (retrieval-augmented generation), and vector databases.
  • Prior experience in healthcare, senior services, or regulated environments (HIPAA awareness a plus).
  • Background in process improvement, operations, or business analysis alongside engineering.
  • Exposure to SharePoint Online document library integration and Microsoft 365 administration.