Technical Architecture & Infrastructure

Patterns, integration, platforms, observability, security boundaries.

• Agent types and patterns: single-purpose, multi-agent systems, orchestrators, tool-using agents, memory/persistence models.
• Integration with core systems of record (SIS, LMS, ERP, identity, data warehouse, research systems).
• Data access, retrieval-augmented generation (RAG), knowledge bases, and real-time vs. batch operation.
• Platform choices: commercial agent platforms, open-source frameworks, custom development, or hybrid.
• Security, identity, authentication, authorization, and least-privilege design for agents.
• Observability, logging, tracing, versioning, and rollback.
• Scalability, latency, reliability, and cost at institutional volume.