Overview
Skills
Job Details
Interactive Voice Architect
Location: Remote
Job Type: Contract - One year duration
Overview:
Client has an immediate need for a contract Interactive Voice Architect. This individual will design, build, and deploy next-generation Interactive Voice Agents (IVAs) and chatbots using industry-leading contact center platforms.
Responsibilities:
Design and Development: Design, develop, and maintain conversational flows for voicebots (IVAs) and chatbots primarily within Five9 Studio 7 and Genesys Cloud Developer (Architect) environments
Conversational AI Logic: Implement sophisticated Natural Language Understanding (NLU) and Natural Language Processing (NLP) models to ensure high accuracy in voicebot and chatbot understanding of customer intent and entities
System Integration: Integrate conversational agents with backend enterprise systems, databases, and APIs to fulfill customer requests (e.g., account lookups, transactions).Testing and Optimization: Conduct rigorous testing, performance monitoring, and iterative optimization of bot flows, dialogs, and NLU models to improve containment rates and customer satisfaction
Documentation: Create and maintain comprehensive documentation for all agent flows, technical configurations, and integration points
Collaboration: Work closely with business analysts, UX designers, and contact center operations teams to translate business requirements into effective self-service solutions
Qualifications:
Required
Proven experience in developing and deploying conversational agents using Five9 Studio 7/Inference Studio OR Genesys Cloud Developer/Architect
Strong understanding of voicebot and chatbot design principles, including best practices for error handling, escalation, prompt writing, and seamless human agent handoff
Practical experience with Conversational AI concepts such as Intent Classification, Entity Recognition, Dialog Management, and leveraging pre-built or custom NLU/NLP engines
Proficiency in scripting/programming languages relevant to bot development and integration (e.g., JavaScript, Python, JSON, REST APIs)
Preferred
Deep understanding of call center technology, including inbound/outbound call routing, IVR, omni-channel concepts, and agent desktop applications
Familiarity with CTI principles and experience integrating conversational platforms with telecommunications infrastructure or CRM systems
Experience with cloud-based NLU/AI services (e.g., Google Dialogflow, Amazon Lex, Microsoft Azure Bot Service)
Experience with testing and tuning tools specific to voice and chat agents