AI Engineer World's Fair 2026 — unofficial import demo

Bio

Kanish Manuja is a principal AI engineer at Twilio, where he leads production LLM gateway and AI platform systems for enterprise-scale AI applications. His work focuses on building reliable, secure, and observable infrastructure for large language model adoption, including multi-tenant gateways, authentication and authorization, guardrails, audit logging, fallback strategies, and production readiness for GenAI workloads. Kanish has worked across AI platform engineering, conversational intelligence, and distributed systems, helping teams move from experimentation to production-grade LLM deployments. He has led efforts around LLM reliability, governance, tenant isolation, provider abstraction, and operational controls for high-scale customer-facing systems. In this session, Kanish will share practical lessons from designing and operating LLM gateway systems in production, including architectural tradeoffs, failure modes, platform boundaries, and what teams should consider before standardizing LLM access across an organization.

Sessions

• Productionizing LLM Gateways: Architecture, Tradeoffs, and Hard Lessons from the TrenchesTuesday, June 30 · 2:25 PM – 2:45 PM · Leadership 1AI-Native Enterprises