• Lead all QAD-related integrations, including research, architectural decisions, and implementation oversight. • Evaluate and select the appropriate integration mechanisms (QXtend, APIs, middleware, database connectors, etc.) and define best practices for interacting with QAD safely and reliably. • Design and deliver a simplified, secure, and well-documented internal API layer that abstracts QAD complexity from AI engineers and full-stack developers. • Work directly with QAD experts, support teams, and client-side ERP administrators to understand system constraints, data models, workflows, and compliance requirements. • Ensure secure integration practices, including authentication, authorization, logging, audit trails, and data governance. • Implement monitoring, retry mechanisms, error handling, logging, and operational visibility for all ERP-related workflows. • Lead and mentor mid-level engineers working on integration components. Provide architectural direction and code reviews. • Collaborate with AI engineers to expose integration endpoints and (optionally) MCP-compatible tools that agents can safely consume. • Produce clear architectural diagrams, API documentation, and integration guidelines for internal and client stakeholders.