This course develops learners’ ability to design reliable agentic and AI-native systems. It integrates agent harness design, planning, tool use, structured outputs, memory, reflection, workflow orchestration, human oversight, multi-agent collaboration, interoperability, non-deterministic testing, maintainability, and controlled autonomy. The emphasis is on framework-independent design and robust integration with enterprise systems. Retrieval and memory are addressed here as design patterns the agent reasons over; the underlying retrieval and memory infrastructure is engineered in TECH 503 AI Data Infrastructure: Pipelines, Retrieval & Knowledge Graphs.