CCAI Voice Solutions Developer

Job Description -

CCAI Voice Solutions Developer

Location: Hybrid in Richardson TX Please send locals

Duration: 6+ Months

Job Description:

• CCAI Voice AI Solutions Developer

Key Responsibilities:

• Design, build, and demonstrate conversational AI prototypes for voice IVR and chat using Dialogflow CX, CCAI Platform, and Agent Assist (for intents, flows, routing logic, and end-to-end customer journeys).
• Research and propose new prototype ideas to enhance customer experience and business operations.
• Build proofs-of-concept (POCs), demonstrate solutions to leadership and stakeholders, deliver knowledge transfer (KT) sessions, and create comprehensive end-to-end documentation (e.g., architecture, setup steps, configs, runbooks, known issues) to enable a smooth handover to the development team.
• Understand Genesys Cloud platform and cross-team coordination for end-to-end delivery.
• Develop and deploy webhook services and back-end integrations for the virtual agent using Python and/or Java, including API integrations and service-to-service communication patterns for production-style architectures.
• Implement event-driven and serverless components on Google Cloud Platform using Cloud Run, Cloud Functions, and Pub/Sub.
• Containerize services with Docker (and Kubernetes concepts where necessary).
• Build and maintain a Genesys AudioHook to Google Cloud Platform pipeline for real-time audio streaming, enabling live transcription and AI-driven insights using speech-to-text and related Google Cloud Platform services.
• Troubleshoot and improve performance and reliability by analyzing telemetry in Google Logs Explorer and Cloud Monitoring, focusing on reducing latency and improving customer experience.

Develop daily hands-on Google Cloud and CCAI tools including but not limited to the following:

• Dialogflow CX (including playbooks),
• CCAI Agent Assist,
• CCAI Insights,
• CCAI Platform,
• Cloud Run,
• Cloud functions,
• Compute Engine,
• Cloud Pub/Sub,
• Google Cloud DLP,
• Memorystore (Redis),
• Firestore,
• BigQuery,
• Terraform, and
• Python and Java (for service development and integrations).

Desired Skills:

• Google Professional Cloud Developer certification
• Customer Engagement Suite with Google AI Technical Expert credential
• Google Professional Cloud Developer certification
• Customer Engagement Suite with Google AI Technical Expert credential

Desired Skills:

Skill Highlights- please indicate the # of years on each of the following skills:

• Dialogflow CX (including playbooks),
• CCAI Agent Assist,
• CCAI Insights,
• CCAI Platform,
• Cloud Run,
• Cloud functions,
• Compute Engine,
• Cloud Pub/Sub,
• Google Cloud DLP,
• Memorystore (Redis),
• Firestore,
• BigQuery,
• Terraform, and
• Python and Java (for service development and integrations).