Google Cloud Contact Center AI (CCAI), Technical Lead

At TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they can thrive.

What you will be doing

• Technical Leadership & Architecture

Design and oversee the implementation of complex Dialogflow CX architectures, including multi-flow designs, state management, and event handling.

Architect end-to-end integration patterns between CCAI and external systems (e.g., Salesforce, ServiceNow, Genesys, or Avaya).

Lead the transition from traditional NLU models to Generative AI-driven "Agentic" workflows, utilizing Vertex AI and Gemini for dynamic response generation.

• Development & Integration

Own the development of secure, scalable webhooks and middleware (Cloud Functions, Cloud Run) to connect AI agents to backend APIs.

Optimize Speech-to-Text (STT) and Text-to-Speech (TTS) configurations, including speech adaptation and custom voice models.

Implement Agent Assist modules to provide real-time suggestions and knowledge surfacing for human agents.

• Performance & Optimization

Lead the "Tuning & Optimization" phase: analyze conversation logs to identify intent mismatch, fallback trends, and drop-off points.

Establish CI/CD pipelines specifically for conversational AI (version control for flows, automated testing for intents).

Use CCAI Insights to extract actionable data from customer interactions and drive continuous system improvement.

• Team Mentorship & Enablement

Mentor junior AI developers and conduct rigorous code/flow reviews.

Provide high-level guidance and technical coaching to developers, fostering a culture of continuous learning and technical excellence.

Bridge the gap between complex AI technicalities and non-technical stakeholders (Product, UX, Business).

Serve as the "Level 3" expert for complex production issues, performance tuning, and deep-dive troubleshooting.

Lead rigorous peer reviews to ensure security, efficiency, and conversational fluidity.

Skills and experience you will bring

Technical Skills Google Cloud Platform: Deep expertise in the Google Cloud AI stack (Dialogflow CX, Vertex AI, BigQuery, Cloud Functions).

Programming: Proficiency in Python (preferred), Node.js, or Java for backend development.

Conversational Design: Strong understanding of "persona" development, prompt engineering, and user-centric conversation flows.

Integration: Solid experience with REST APIs, gRPC, Webhooks, and security protocols (OAuth, JWT). Experience Years of Experience: 8+ years in Software Engineering or Cloud Architecture, with at least 3–5 years specifically focused on Google CCAI.

Domain Knowledge: Previous experience in Contact Center technologies (IVR, CCaaS, SIP/RTP telephony) is highly desired. Preferred Certifications Google Cloud Professional Machine Learning Engineer.

Google Cloud Professional Cloud Architect.