Job Requirements Role summaryConfigure and deploy the pre-built conversational applications for each customer across three channels: GoogleContact Center AI on Google Cloud Platform, plus voice and chat applications on AWS. You wire each application to the customerknowledge / RAG store prepared by the Conversational Data Engineer. You specialize in platform configuration,channel setup, and go-live smoke testingWhat success looks like CCAI, voice, and chat packages are correctly configured for each customer and demonstrably workingbefore handoff.Customer-specific settings areapplied consistently and documented.Key responsibilities Configure Google CCAI components: Dialogflow CX agents/flows, Agent Assist, conversation profiles, andknowledge bases. Configure and deploy the AWS voice application Configure and deploy the AWS chat application Connect deployed applications to the customer RAG / knowledge store Tune grounding / retrieval settings in the product consoles so answers use the indexed corpus. Apply customer-specific configuration packages; version and document what was deployed. Run functional smoke tests across voice, chat, and CCAI experiences after each deployment, includingknowledge-grounded questions. Troubleshoot configuration and integration defects during go-live; escalate true product defects to thedevelopment organization. Partner with the Conversational Data Engineer so synthetic conversations and RAG corpora loadcorrectly into each platform. Maintain configuration-as-code or structured configuration packages for repeatability.Required qualifications 5+ years implementing or configuring conversational AI / contact-center platforms. Hands-on experience with Google Dialogflow CX and/or Contact Center Hands-on experience with at least one AWS conversational stack Ability to configure flows, intents/entities or equivalent, knowledge sources, and channel integrationswithout writing the core application. Strong debugging skills across console UIs, logs, and webhook/API integrations.Preferred qualifications Both Google Cloud Platform CCAI and AWS Connect/Lex experience in the same career Experience connecting conversational products to Vertex AI Search, Bedrock Knowledge Bases, orsimilar RAG services. Experience loading training or evaluation conversation sets and knowledge articles
