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Google Cloud Architect

Accenture -
Dublin, County Dublin

Apply Now

Job details

Full-time

Qualifications

CI/CD
Customer service
Google Cloud Platform
Telecommunication
AI
Communication skills

Full job description

The Google Cloud Architect is a hands-on technical 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 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 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 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 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.

Key Responsibilities

Agentic Customer Experience Solution Implementation

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

Google Customer Engagement Suite (CES) Engineering

Build and configure solutions leveraging Google Cloud Customer Engagement Suite, including:
- 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.

Gemini AI Enablement

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

Hands-On Google Cloud Engineering

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

Architecture-to-Engineering Bridge

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.

AI Operations & Experience Alignment

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.

Technical Skills & Experience

Required

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

Experience with:
- Contact Center AI (CCAI)
- Gemini AI integrations
- Dialogflow CX
- Voice and chat automation.
Exposure to outcome-driven CX transformation initiatives.

Professional Skills

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

Preferred Certifications

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

Apply Now

Refine Your Search

ai & data agentic ai engineer senior jobs

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