Agentic AI Architect - – Google Gemini Enterprise CX
- Ttec Digital
- Remote USA
Job Description
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.
- Experience managing and guiding developers or staff.
- A passion for pioneering and innovating in the AI space and a drive for career growth.
Desired Qualifications
