Define the architecture and technical strategy for Dave’s AI Agent Factory, including reusable frameworks, evaluation patterns, deployment standards, and observability.
Design the MCP server architecture and AI-ready data access layer that enables LLMs to securely reason over governed enterprise data.
Architect integrations between AI agents and Dave’s semantic layer so business definitions remain consistent across analytics, reporting, and AI experiences.
Establish governance-by-design patterns for authentication, authorization, auditability, PII protection, and responsible AI deployment.
Design evaluation frameworks that measure agent quality, reliability, and operational performance before production deployment.
Partner across Engineering, Data, Security, and Product to establish technical standards that enable AI adoption across the organization.