Position: Conversational AI Platform Architect
Location: Remote
Contract
Configure and deploy the pre-built conversational applications for each customer across three channels: Google Contact Center AI on Google Cloud Platform, plus voice and chat applications on AWS. You wire each application to the customer knowledge / RAG store prepared by the Conversational Data Engineer. You specialize in platform configuration, channel setup, and go-live smoke testing.
What success looks like• CCAI, voice, and chat packages are correctly configured for each customer and demonstrably working before handoff. Customer-specific settings are applied consistently and documented.
Key responsibilities
• Configure Google CCAI components: Dialogflow CX agents/flows, Agent Assist, conversation profiles, and knowledge 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, including knowledge-grounded questions.• Troubleshoot configuration and integration defects during go-live; escalate true product defects to the development organization.• Partner with the Conversational Data Engineer so synthetic conversations and RAG corpora load correctly 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 integrations without 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.Work Experience 7-10Years
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