Educational support organizations face mounting complexity as schools, students, and families demand more. Modern schools require immediate, AI‑powered responses spanning learning platforms, student information systems, hardware, and operational processes. Yet most teams remain trapped in disconnected tools, reactive escalation paths, and fragile workflows that collapse under everyday pressure. Our approach bridges this divide through a distinct architecture: AI‑enhanced “cyborg” agents positioned at the heart of a functioning educational environment. In this position, you will define how the system evolves. Each resolution refines future automation capabilities, each root‑cause investigation shapes process and policy decisions, and each unusual scenario you decode strengthens outcomes for thousands of learners and teaching staff. This is direct, production‑level problem resolution within a service context. You will investigate unclear, multi‑party failures spanning educational applications, student information platforms, authentication systems, network infrastructure, and operational processes; use AI to develop hypotheses, validate approaches, and speed resolution timelines; capture the human analysis that educates both technology and colleagues; and actively surface patterns that convert isolated interventions into lasting, organization‑wide enhancements. This is not ticket sorting, procedure execution, or “forward and hold.” If you excel when instructions are partial, when issues cross engineering, operations, and academic boundaries, and when you can transition from technical investigation to stakeholder coordination while maintaining precision, this role will suit you. What You Will Be Doing AI‑Enhanced Customer Resolution: Examine complex escalations from AI systems, apply human judgment where AI capabilities fall short, then improve AI performance by addressing those limitations. What You Won’t Be Doing Spending two full months onboarding; you will be exp...