Agentic AI Architect - - Google Gemini Enterprise CX

TTEC Digital

$165K — $195K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of overall architect experience
  • 4+ years with Dialogflow CX and 2+ years with Google CCAI/CES
  • Deep knowledge of Gemini AI and grounding techniques for Enterprise CX
  • Experience with REST/SOAP APIs and complex backend integrations
  • Experience managing large contact center implementations
  • Proven ability to write Solution and Technical Document Designs (SDD/TDD)
  • Proficient in Python, with strong SQL and database experience.

Responsibilities

  • Design and implement self-service AI solutions for contact centers
  • Architect multi-agent workflows utilizing ReAct frameworks
  • Lead technical design and implementation on selected projects
  • Develop integrations between AI agents and backend systems
  • Collaborate on advanced conversation designs using LLMs
  • Perform unit and functional testing with a focus on prompt engineering

Benefits

  • Medical, dental, vision coverage
  • Tax-advantaged healthcare accounts
  • Financial and income protection benefits
  • Paid time off (PTO) and wellness time off
Full 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.
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.
$165,000 - $195,000 a year #LI-BN1 This position is eligible to participate in an annual incentive program. Actual compensation offered to a candidate may vary based upon geographic location, work experience, education and/or skill levels. Benefits available to eligible employees include the following: - Medical, dental, vision - tax-advantaged health care accounts - financial and income protection benefits - paid time off (PTO) and wellness time off. This job posting will remain open until we have identified an adequate applicant pool. Applicants are strongly encouraged to apply early. #LI-Remote

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