Applied AI EngineerWhat you can expectDeploy production AI agents for strategic customers during the sales cycle - taking Zoom Virtual Agent from proof-of-concept to live, trusted daily use within 90 days. Partner across Sales, Product, and Engineering to prove technical value, working hands-on with voice AI, integrations, and real customer data. Turn field insights into platform capabilities that scale, ensuring every deployment makes the next one faster. Your work directly accelerates revenue and shapes the product roadmap.About the TeamWe deploy Zoom Virtual Agent into live customer environments. Our team bridges Sales and Engineering through hands-on technical validation. We exist to convert pilots into production systems.ResponsibilitiesDesigning and deploying production-ready AI agents during proof-of-concept engagements, integrating with customer CRMs, telephony systems, and knowledge bases using Python and TypeScriptEngineering voice experiences by tuning speech synthesis, turn-taking, and barge-in across providers to match customer requirements and call profilesBuilding evaluation frameworks with scripted tasks and adversarial scenarios that measure resolution rate, containment, and customer satisfaction as deployment gatesCapturing product gaps and contributing structured feedback to Engineering, generalising field solutions into reusable platform capabilitiesTransitioning successful pilots to Professional Services or partners with clear documentation, playbooks, and recommendations for ongoing operationWhat we're looking forDemonstrate 6+ years in customer-facing technical roles shipping complex SaaS or AI/ML solutions (Solutions Engineering, Technical Account Management, or similar)Deploy LLM-based agents with tool use, multi-step orchestration, and guardrails into production customer environmentsApply voice stack expertise across ASR, TTS, turn-taking, and barge-in, including tuning at least one major provider (ElevenLabs, Azure, Cartesia, or similar)Bu