Hybrid-Remote AI Deployment Architect

Zoom; Seattle (WA); Hybrid; USD 124,000 - 271,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Zoom is seeking a results-driven engineer to design and deploy production AI agents for strategic customers. You will work closely with Sales, Product, and Engineering to validate value, integrate with CRMs and telephony, and shape the product roadmap.

The role emphasizes hands-on work with voice AI and data-driven improvements. Ideal candidates have extensive experience shipping SaaS/AI solutions, strong Python/TypeScript skills, and the ability to translate field insights into scalable

Qualifications

• 4+ years in customer-facing technical roles shipping SaaS or AI/ML solutions.
• Deploy LLM-based agents with tool use, multi-step orchestration, and guardrails into production environments.
• Apply voice stack expertise across ASR, TTS, turn-taking, and barge-in with at least one major provider.
• Build production integrations in Python with working knowledge of TypeScript or Go, connecting CRMs and telephony.
• Write tests, log failures, and iterate against measurable targets to validate agent performance before go-live.
• Communicate technical concepts to business and engineering stakeholders with clarity.
• Bring contact centre domain knowledge or experience with AI agent platforms.
• Experience deploying in regulated industries (healthcare, financial services, telecom).

Responsibilities

• Designing and deploying production-ready AI agents during proof-of-concept engagements, integrating with customer CRMs, telephony systems, and knowledge bases using Python and TypeScript.
• Engineering voice experiences by tuning speech synthesis, turn-taking, and barge-in across providers to match customer requirements and call profiles.
• Building evaluation frameworks with scripted tasks and adversarial scenarios that measure resolution rate, containment, and customer satisfaction as deployment gates.
• Capturing product gaps and contributing structured feedback to Engineering, generalising field solutions into reusable platform capabilities.
• Transitioning successful pilots to Professional Services or partners with clear documentation, playbooks, and recommendations for ongoing operation.

Skills

Customer-facing tech roles

LLM-based agents deployment

Voice tech expertise

Python

TypeScript

Go

CRM & telephony integrations

Communication of technical concepts

Tools

Python

TypeScript

Go

Job description

Zoom is seeking a results-driven engineer to design and deploy production AI agents for strategic customers. You will work closely with Sales, Product, and Engineering to validate value, integrate with CRMs and telephony, and shape the product roadmap.

The role emphasizes hands-on work with voice AI and data-driven improvements. Ideal candidates have extensive experience shipping SaaS/AI solutions, strong Python/TypeScript skills, and the ability to translate field insights into scalable