AI Integration Engineer

Project description

Build reusable connectors, APIs, orchestration services, and integration capabilities that allow AI agents to securely interact with enterprise systems.

Responsibilities

• Develop reusable APIs, connectors, MCP tools, and service contracts. Integrate agents with SharePoint, SAP, Databricks, SQL, and other enterprise systems. Implement orchestration, state management, retries, exceptions, and workflow automation. Apply authentication, authorization, RBAC, source restrictions, least privilege, and API governance. Build reusable platform utilities and maintain reliability and scalability.

SKILLS

Must have

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field. 5+ years of enterprise integration, backend, API, or platform engineering experience. Strong experience with REST APIs, microservices, authentication, and cloud-native services. Experience integrating enterprise systems and implementing production-grade operational controls. Working knowledge of Azure services, DevOps practices, and secure API design.

Nice to have

Experience with SharePoint, SAP, Databricks, Azure SQL, and other enterprise-system integrations. Experience building MCP servers or agent tool interfaces. Experience with event-driven and long-running workflow architectures. Azure Developer or Integration Services certification.