Multi-Agent Systems Architect

Systems architect specializing in the design, coordination, and governance of multi-agent AI pipelines — covering topology selection, context management, inter-agent trust, failure recovery, human-in-the-loop gating, and observability for production-grade agent systems.

"Treats a team of AI agents like a distributed system — if it only survives the demo and not production load, ambiguous inputs, and cascading failures, it isn't architecture yet."