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Knowledge Graph Architect Jobs in Tennessee (NOW HIRING)

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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 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.

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 popular job titles related to Knowledge Graph Architect jobs in Tennessee?

For Knowledge Graph Architect jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Knowledge Graph Architect jobs in Tennessee look for?

The top searched job categories for Knowledge Graph Architect jobs in Tennessee are:

What cities in Tennessee are hiring for Knowledge Graph Architect jobs?

Cities in Tennessee with the most Knowledge Graph Architect job openings:

Engineer, Backend Integration & AI Transformation

Lifepoint Health

Brentwood, TN • On-site

Full-time

Re-posted 24 days ago


Key responsibilities

  • Build and maintain RESTful and event-driven APIs to enable AI agents to interact with enterprise platforms.

  • Develop and manage system integrations with key enterprise tools such as ServiceNow, Okta, and ERP systems, ensuring security and reliability.

  • Monitor integration health, implement alerting, and ensure compliance with security and data policies.


LifePoint Health rating

5.9

Company rating: 5.9 out of 10

Based on 273 frontline employees who took The Breakroom Quiz

766th of 898 rated healthcare providers


Job description


EEOC Statement
"Lifepoint Health is an Equal Opportunity Employer. Lifepoint Health is committed to Equal Employment Opportunity for all applicants and employees and complies with all applicable laws prohibiting discrimination and harassment in employment."
You must be authorized to work in the United States without employer sponsorship.
WORK ENVIRONMENT AND TRAVEL REQUIREMENTS:
The position is: Remote
Travel Requirements: Less than 25%
POSITION SUMMARY:
The Backend Integration Engineer is the connective tissue of the AI Transformation team. This engineer builds and maintains the API infrastructure and system integrations that allow AI agents to interact with the organization's core enterprise platforms - including ServiceNow, Okta, ERP systems, and other business-critical tools. This role ensures that when an AI agent needs to take action in the real world, the pathways are secure, reliable, well-documented, and reusable.
This is a role for a solid backend developer who is excited to apply strong fundamentals in an AI-first context. Experience with enterprise platform APIs is a strong differentiator. Direct MCP server development experience is rare and not required - a willingness to become an internal expert is expected.
ESSENTIAL FUNCTIONS:
  • Design, build, and maintain RESTful and event-driven APIs that expose enterprise system capabilities to AI agents and agentic workflows in a secure and controlled manner.
  • Develop and maintain Model Context Protocol (MCP) server implementations that provide AI agents with structured, secure, and auditable access to enterprise tools, data sources, and services.
  • Build and manage integrations with key enterprise platforms including ServiceNow (workflow triggers, CMDB queries, ticket management), Okta (identity and access queries, group management), and ERP/financial systems.
  • Implement security controls for all integration endpoints: OAuth 2.0 / OIDC authentication, API gateway policies, rate limiting, input sanitization, payload validation, and comprehensive audit logging.
  • Collaborate with Agentic AI Engineers to define MCP tool specifications and ensure agents can reliably invoke enterprise actions with appropriate authorization checks and operational guardrails.
  • Maintain comprehensive API documentation and an integration catalog so the team can build on existing 'paved paths' rather than re-implementing integrations from scratch.
  • Monitor integration health, SLA adherence, and error rates; implement alerting and graceful degradation patterns so agent failures are isolated and recoverable.
  • Work with the AI governance team to ensure integration designs comply with data classification policies, access control requirements, and applicable regulatory standards.
  • Evaluate and onboard new enterprise system integrations as the team's scope of automation expands to additional business units and platforms.
  • Contribute to the team's security review process for agent tool definitions, ensuring tool permissions follow the principle of least privilege.

QUALIFICATION, EDUCATION, KNOWLEDGE, SKILLS:
The requirements listed below are representative of the knowledge, skills and/or abilities required.
EDUCATION:
Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field preferred. Equivalent practical experience will be considered.
EXPERIENCE:
2-4 years of backend software development or systems integration experience. Experience with enterprise platform APIs (ServiceNow, Okta, Microsoft 365, or ERP systems) is a strong plus. Candidates with strong API and backend fundamentals who demonstrate genuine enthusiasm for AI-driven automation will be considered.
KNOWLEDGE, SKILLS & ABILITIES:
  • Proficiency in at least one backend language - Python strongly preferred; Node.js or Java acceptable.
  • Strong understanding of REST API design principles, authentication and authorization patterns (OAuth 2.0, OIDC, API keys, JWT), and API gateway configuration.
  • Experience consuming and integrating with enterprise platform APIs (ServiceNow, Okta, Microsoft Graph, SAP, or similar).
  • Knowledge of Model Context Protocol (MCP) or ability and enthusiasm to rapidly learn and implement MCP server patterns - a key skill for this team.
  • Security-first development mindset: input validation and sanitization, secure credential handling and rotation, least-privilege API scoping, audit logging, and OWASP API Security Top 10 awareness.
  • Familiarity with Azure API Management, Azure Functions, Azure Service Bus, or similar Azure integration and serverless platform services.
  • Understanding of event-driven architecture, webhook patterns, and asynchronous integration approaches.
  • Experience with version control (Git), code review practices, and collaborative development workflows.
  • Ability to write clear, accurate API documentation and integration specifications that other engineers can build on.
  • Genuine curiosity about AI agents and automation - understanding of how MCP tools are invoked by LLMs is a significant plus.

CERTIFICATIONS/LICENSURE:
Microsoft Azure Developer Associate (AZ-204) preferred. ServiceNow Certified System Administrator (CSA) or Okta certifications are a strong plus. OWASP API Security awareness desirable.
About Us
Lifepoint Health is a leader in community-based care and driven by a mission of Making Communities Healthier. Our diversified healthcare delivery network spans 29 states and includes 63 community hospital campuses, 32 rehabilitation and behavioral health hospitals, and more than 170 additional sites of care across the healthcare continuum, such as acute rehabilitation units, outpatient centers and post-acute care facilities. We believe that success is achieved through talented people. We want to create places where employees want to work, with opportunities to pursue meaningful and satisfying careers that truly make a difference in communities across the country.
About the Team
We employ and provide care to people from all walks of life. We are committed to promoting healing, providing hope, preserving dignity and producing value with an inclusive workforce in which diversity is leveraged, respected, and reflective of the patients, family members, customers and team members we serve.

What LifePoint Health employees say

Pay

Benefits

Hours and flexibility

Workplace

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LifePoint Health logo

About LifePoint Health

Sourced by ZipRecruiter

Lifepoint Health serves patients, clinicians, communities and partners across the healthcare continuum. Our diversified healthcare delivery network extends from coast to coast, consisting of community hospitals, rehabilitation and behavioral health hospitals, and additional sites of care.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Brentwood, TN, US

Year founded

1999

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