Running a generative AI pilot is one thing, turning it into a secure, scalable system is another. In this panel, engineering leads share how they’re architecting production-ready GenAI systems within complex enterprise environments. From infrastructure choices and API orchestration to data governance, latency trade-offs, and model oversight, we’ll explore the design decisions, tooling, and guardrails needed to move from experiment to enterprise-grade. → Strategies for scaling GenAI with the right technical foundations and internal controls. → How to navigate cross-functional demands from compliance, risk, and platform teams.