Note: The job is a remote job and is open to candidates in USA. Lifepoint Health is a leader in community-based care and is seeking a Backend Integration Engineer for their AI Transformation team. This role involves building and maintaining API infrastructure and system integrations to facilitate interactions between AI agents and core enterprise platforms.
Responsibilities
- 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
Skills
- 2–4 years of backend software development or systems integration experience
- 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)
- 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
- Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field preferred. Equivalent practical experience will be considered
- Proficiency in at least one backend language — Python strongly preferred; Node.js or Java acceptable
- Experience with enterprise platform APIs (ServiceNow, Okta, Microsoft 365, or ERP systems) is a strong plus
- Knowledge of Model Context Protocol (MCP) or ability and enthusiasm to rapidly learn and implement MCP server patterns — a key skill for this team
- Microsoft Azure Developer Associate (AZ-204) preferred
- ServiceNow Certified System Administrator (CSA) or Okta certifications are a strong plus
- OWASP API Security awareness desirable
Company Overview