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# Conversational AI Platform Architect

- **Company:** Alchemy Software Solutions LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, System Configuration, Software Debugging, Lex (Software), Smoke Testing, Google Cloud, Api Management
- **Published:** September 10, 2026
- **Apply:** https://www.dice.com/job-detail/7c88a7bf-0f87-4b97-9caa-43108f4f4803

## About the Role

* 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., * 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

## Description

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., * 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.