Google Cloud Architect

The Google Cloud Architect is a hands-on technical role within the Accenture Google Business Group (AGBG), supporting implementation of next-generation customer engagement and contact centre transformations powered by Gemini Enterprise for Customer Experience.

The role focuses on designing and implementing AI-enabled customer engagement solutions that combine agentic AI, conversational interfaces, and human-agent collaboration to improve customer experience, automation outcomes, and operational efficiency.

This position operates as a working architect and senior engineer embedded within delivery teams, translating solution architecture into real implementation components.

This role sits at the forefront of next-generation customer experience transformation, leveraging Google Cloud’s Customer Engagement Suite and Gemini-powered AI capabilities. Operating within a fast-evolving Irish telecommunications landscape, the role focuses on delivering AI-enabled, omnichannel customer engagement solutions that enhance customer satisfaction, improve automation outcomes, and optimise contact centre operations. As part of Accenture’s Google Business Group, you will work closely with stakeholders to design and implement agentic AI-driven customer journeys, where AI and human agents collaborate seamlessly to resolve customer needs efficiently and at scale. The role requires a strong balance of hands-on engineering, solution implementation, and real-world CX alignment, ensuring that AI solutions are not only technically robust but also grounded in the operational realities of telecom customer service in Ireland.

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• Implement AI-powered customer engagement solutions
  
• Support realisation of agentic AI customer journeys where AI and human agents collaborate seamlessly.
  

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• Build and configure solutions leveraging Google Cloud Customer Engagement Suite, including:
  
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  • Conversational Agents (Dialogflow CX)
    
  • Agent Assist
    
  • Conversation Insights
    
  • AI-driven customer interaction workflows.
    
  
  
• Integrate CES capabilities with enterprise contact centre and CRM platforms.
  
• Support omnichannel customer engagement implementation.
  

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• Apply Gemini-powered AI capabilities across customer service use cases, including:
  
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  • conversational understanding
    
  • summarisation and response generation
    
  • intelligent routing and assistance
    
  • AI-driven customer interaction enhancement.
    
  
  

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• Contribute technically across build and implementation activities using:
  
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  • Vertex AI
    
  • BigQuery
    
  • Cloud Run / GKE
    
  • Pub/Sub
    
  • Dataflow
    
  • APIs and integration services
    
  • IAM & security controls.
    
  
  
• Support:
  
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  • CI/CD implementation
    
  • cloud-native deployment patterns
    
  • reusable component development.
    
  
  

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• Translate high-level architecture into technical implementation designs.
  
• Support senior architects in defining scalable engineering patterns.
  
• Guide engineers on implementation approaches and best practices.
  
• Ensure alignment between AI solution design and operational contact centre realities.
  

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• Work with operations teams to ensure AI solutions align with real contact centre workflows.
  
• Support implementation of AI + human collaboration models.
  
• Validate automation and customer experience outcomes during implementation phases.
  

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• Required
  
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  • Hands-on experience with Google Cloud platform implementation.
    
  • Experience building conversational AI or customer engagement solutions.
    
  • Understanding of contact centre workflows and CX platforms.
    
  • Experience with cloud-native API integrations.
    
  
  
• Preferred
  
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  • Experience with:
    
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    • Contact Center AI (CCAI)
      
    • Gemini AI integrations
      
    • Dialogflow CX
      
    • Voice and chat automation.
      
    
    
  • Exposure to outcome-driven CX transformation initiatives.
    
  
  

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• Strong technical problem-solving capability.
  
• Ability to operate in fast-paced transformation programmes.
  
• Comfortable working with cross-functional teams including operations, architecture, and engineering. xcfaprz
  
• Strong communication with technical stakeholders.
  

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• Google Cloud Professional Cloud Architect
  
• Professional Data Engineer
  
• Google Generative AI / Gemini certifications
  
• Conversational AI / CCAI related certifications (preferred)