Agentic AI Architect – Google Gemini Enterprise CX

TTEC Digital

Agentic AI Architect designing sophisticated multi-agent systems using Google Gemini for TTEC Digital. Leading the implementation of intelligent workflows to redefine customer experience.

Posted 7/23/2026full-timeRemote • Texas • 🇺🇸 United StatesSeniorLead💰 $165,000 - $195,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing AI self-service solutions, with a strong focus on integrating complex backend systems and optimizing conversation design. Proven ability to lead technical architecture and manage large-scale contact center implementations using advanced AI technologies.

Highest-signal resume keywords

AI Self-Service Solutions DesignGoogle Cloud CCAI/CES ExpertiseREST/SOAP API IntegrationGenerative AI ProficiencyTechnical Documentation Writing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonJavaJavaScriptNode.jsSQLPostgreSQLMongoDBGoogle Dialogflow CXGoogle Speech-to-TextGoogle Text-to-Speech

Tools & Technologies

Gemini AIAgent Development Kit (ADK)Cloud RunGKECloud FunctionsAPI GatewayPub/SubDataflowIAMApigee

Certifications & Qualifications

Google Professional Cloud ArchitectMachine Learning Engineer Certification

Industry Keywords

Contact Center ImplementationAgentic StrategyMulti-Agent OrchestrationsPrompt EngineeringHallucination Mitigation

Tech Stack

Tools & technologies

CloudFlashJavaJavaScriptMongoDBNode.jsPostgresPythonReactSOAPSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Medical, dental, vision
tax-advantaged health care accounts
financial and income protection benefits
paid time off (PTO) and wellness time off.