Project Manager, Cloud Computing: Infrastructure & Operations, IT Consultant

Configure and deploy the pre-built conversational applications for each customer across three channels:
Google
Contact Center AI on GCP, 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

• CCAI, voice, and chat packages are correctly configured for each customer and demonstrably working

before handoff.

Customer-specific settings are
applied consistently and documented.

• 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.

• 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 GCP CCAI and AWS Connect/Lex experience in the same career
• Experience connecting conversational products to Vertex AI Search, Bedrock Knowledge Bases, or

similar RAG services.

• Experience loading training or evaluation conversation sets and knowledge articles.