Leadership · GenAI · Production systems
Enterprise Conversational AI
Technical leadership for a high-scale employee conversational AI platform, spanning retrieval, orchestration, integrations, production controls, and engineering enablement.
01 · The challenge
What had to be true
Enterprise assistants must route ambiguous language, ground answers in governed knowledge, complete actions through trusted integrations, and fail safely—all while meeting strict reliability and risk expectations.
02 · The response
How I shaped the system
I guide reusable patterns for retrieval and intent routing, agentic orchestration, API integration, escalation, testing, observability, and production readiness across multiple engineering domains.
03 · The result
Outcome and current state
The platform supports 200,000+ employees and 100,000+ monthly interactions. Public résumé results include 30%+ fewer live escalations per topic, 20%+ fewer incident tickets, and lower latency and hallucination rates.
Engineering highlights
- Selected as one of four development leads in an approximately 50-person organization
- Architecture guidance across retrieval, routing, integrations, controls, and escalation
- Design reviews, production-readiness decisions, reusable engineering patterns, and mentorship
Working stack
Enterprise details are intentionally summarized. No proprietary architecture, code, screenshots, or internal product information is published here.