Agentic AI Architect - – Google Gemini Enterprise CX

Job description

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. TTEC is seeking a visionary **Agentic AI Architect** to join our rapidly expanding Google GCP team. As we’re in the era of generative AI and autonomous agents, we need a pioneer who can design sophisticated, multi-agent systems using the Google Gemini Enterprise and CX suite. In this role, you will be the primary technical authority for implementing next-generation "Agentic" workflows—moving beyond simple chatbots to building intelligent systems that can reason, use tools, and execute complex business processes autonomously. You will serve as a lead to the Google delivery practice, guiding clients through the full life cycle of implementing Gemini-powered solutions that redefine customer experience. ### What You'll Be Doing - Lead Agentic Strategy: Design and implement voice and digital AI Self-Service solutions for large contact centers using Gemini Enterprise CX and Agent Development Kit (ADK). - Architect Autonomous Workflows: Design multi-agent orchestrations that leverage Reasoning and Acting (ReAct) frameworks to meet complex client needs. - Technical Leadership: Serve as the lead architect for Google GECX, Gemini Enterprise and Agent Development Kit (ADK) projects, CI/CD, driving technical design and solution requirements. Translate high-level architecture into technical implementation designs. - Integration & Tool Use: Develop seamless integrations between AI agents and backend systems using REST/SOAP APIs, ensuring agents can perform real-time data retrieval and execution. Build and implement using: Gemini AI, Cloud Run/GKE, Cloud Functions, API Gateway, Pub/Sub, Dataflow and IAM. - Advanced Conversation Design: Collaborate with teams to move from rigid decision trees to fluid, LLM-driven conversation specifications. - Testing & Optimization: Lead unit, system, and functional testing of agentic code, focusing on prompt engineering and hallucination mitigation. ### What skills and experience you will bring: - Core Architecture: 8+ years of overall architect experience. - Google AI Expertise: 4+ years with Dialogflow CX and 2+ years of hands-on experience with Google Cloud CCAI/CES including Agent Assist and Conversational Insights. - Generative AI Proficiency: Deep knowledge of Gemini AI (Pro/Flash and 3rd party models), and grounding techniques for Enterprise CX. - Integration Expertise: Experience with REST/SOAP APIs, Apigee, and complex backend data integrations. - Implementation Track Record: Experience managing large, multi-site contact center implementations. - Documentation: Proven ability to write Solution/Technical Document Designs (SDD/TDD) for IVA and Agentic applications. - Technical Stack: - Languages: Proficient in Python (preferred for AI/LLM), Java, JavaScript, and Node.js. - Data: Strong experience with SQL, PostgreSQL, and MongoDB. - Speech Tech: Experience with Google Speech-to-Text and Text-to-Speech services. - Education: 4-year bachelor’s degree. - Certification: Google Professional Cloud Architect or Machine Learning Engineer certification is a major plus; badge completion is required. Desired Qualifications - Experience managing and guiding developers or staff. - A passion for pioneering and innovating in the AI space and a drive for career growth.