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- Tasks: Implement AI-powered customer engagement solutions and collaborate with teams to enhance customer experiences.
- Company: Global leader in digital transformation focused on innovative customer engagement platforms.
- Benefits: Competitive salary, hands-on experience, and opportunities for professional growth.
- Other info: Join a dynamic team at the forefront of telecoms transformation in Ireland.
- Why this job: Shape the future of customer service with cutting-edge AI and Google Cloud technologies.
- Qualifications: Experience in cloud engineering and a passion for AI-driven solutions.
The predicted salary is between 65000 - 85000 £ per year.
Our client is a global leader in digital transformation, delivering large-scale, AI-driven customer experience and contact centre programmes for major enterprise and telecoms organisations. They are investing heavily in next-generation customer engagement platforms powered by Google Cloud and Gemini technologies, with a strong focus on automation, conversational AI, and human-agent collaboration at scale.
This is a hands-on Google Cloud Architect role sitting within a specialist Google Cloud engineering group. The focus is not advisory. You will be embedded in delivery teams, responsible for turning architecture into working, production-grade solutions that directly shape customer service operations in live environments. The role sits at the centre of a major transformation programme within a fast-evolving telecoms landscape in Ireland, where customer experience, AI automation, and omnichannel engagement are being redefined from the ground up.
Key Responsibilities- Agentic Customer Experience Solution Implementation
- Implement AI-powered customer engagement solutions across complex enterprise environments.
- Deliver agentic AI customer journeys where AI and human agents collaborate seamlessly in real time.
- Google Customer Engagement Suite (CES) Engineering
- Build and configure solutions using Dialogflow CX, Agent Assist, and Conversation Insights.
- Integrate CES capabilities with enterprise CRM and contact centre platforms.
- Support omnichannel customer engagement implementation across voice, chat, and digital channels.
- Gemini AI Enablement
- Apply Gemini capabilities across customer service use cases, including summarisation, response generation, intelligent routing, and conversational understanding.
- Enhance customer interaction workflows using generative AI capabilities.
- Hands-On Google Cloud Engineering
- Work across Vertex AI, BigQuery, Cloud Run, GKE, Pub/Sub, Dataflow, APIs, IAM, and security controls.
- Support CI/CD pipelines, cloud-native deployments, and reusable component development.
- Architecture-to-Engineering Delivery
- Translate solution architecture into implementable technical designs.
- Support senior architects in defining scalable engineering patterns.
- Guide engineering teams on best practice implementation approaches.
Google Cloud Architect employer: ANSON MCCADE
Contact Detail:
ANSON MCCADE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Google Cloud Architect
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that Google Cloud Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects and experiences with Google Cloud technologies. We want to see how you’ve turned architecture into real-world solutions, so make it shine!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss how you’ve implemented AI-powered customer engagement solutions. We’re looking for hands-on experience, so be ready to dive deep.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. We’re excited to see how you can contribute to transforming customer experiences with us!
We think you need these skills to ace Google Cloud Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Google Cloud Architect role. Highlight your experience with Google Cloud technologies and any relevant projects you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI-driven customer experiences and how you can contribute to our transformation programme. Keep it engaging and personal, so we get a sense of who you are.
Showcase Your Technical Skills: In your application, don't forget to showcase your hands-on experience with tools like Dialogflow CX, Vertex AI, and BigQuery. We’re looking for someone who can hit the ground running, so let us know what you've done in these areas!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at ANSON MCCADE
✨Know Your Google Cloud Inside Out
Make sure you’re well-versed in Google Cloud technologies, especially those mentioned in the job description like Dialogflow CX and Vertex AI. Brush up on your hands-on experience with these tools, as you'll need to demonstrate your ability to implement solutions effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex challenges in customer engagement or AI automation. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how your contributions made a difference.
✨Understand the Company’s Vision
Research the company’s approach to digital transformation and customer experience. Be ready to discuss how your skills align with their goals, particularly in automating customer interactions and enhancing omnichannel engagement.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current projects involving AI and customer engagement, or ask how they envision the future of customer service in the telecoms landscape. This will demonstrate your enthusiasm and strategic thinking.