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- Tasks: Design and implement cloud-native architectures for retail using Google Cloud technologies.
- Company: Join a leading firm transforming the retail sector with innovative cloud solutions.
- Benefits: Enjoy remote work flexibility and opportunities for professional growth.
- Why this job: Be at the forefront of AI-driven retail solutions, making a real impact on customer experiences.
- Qualifications: 10+ years in cloud architecture, with strong expertise in AI/ML and retail.
- Other info: Contract role with potential for extension; ideal for tech-savvy innovators.
The predicted salary is between 72000 - 108000 £ per year.
We are seeking an experienced Cloud Architect with strong domain expertise in the retail sector and technical proficiency in vector search technologies and AI-driven agent systems. This role is responsible for designing scalable and intelligent cloud-native architectures that enhance personalization, product discovery, and operational efficiency for major retail customers using Google Cloud technologies.
Key Responsibilities:
- Architect retail-centric solutions on GCP that optimize customer experience, supply chain, and omnichannel engagement.
- Implement and optimize vector search capabilities (e.g., ScaNN, FAISS) for personalized product search and recommendations.
- Design AI-powered agent systems to support customer service, inventory management, and sales enablement use cases.
- Collaborate with retail clients to assess current infrastructure and define scalable cloud transformation strategies.
- Lead the development of cloud-native microservices, event-driven systems, and ML pipelines using GCP tools.
- Ensure solutions are secure, compliant, and aligned with retail industry standards and best practices.
- Conduct architecture reviews, technical workshops, and hands-on engagements with customer engineering teams.
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- 10+ years of experience in cloud architecture / solution engineering, including at least 3 years in the retail industry.
- 5+ years of experience in AI/ML engineering, with at least 2+ years specifically focused on Generative AI (LLMs, diffusion models, etc.).
- Extensive experience designing GCP-based architectures leveraging services such as Vertex AI, BigQuery, Dataflow, and GKE.
- Proficiency with vector similarity tools such as ScaNN, FAISS, or Vespa for semantic and visual search.
- Experience with AI agent frameworks (e.g., Dialogflow, LangChain, or custom agent orchestration solutions).
- Strong understanding of retail data ecosystems, POS integration, and customer engagement analytics.
- Strong hands-on experience with Google Cloud Platform (GCP) AI/ML services, especially Vertex AI (Workbench, Training, Prediction, Pipelines, Feature Store).
- Proficiency in Python and strong experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, JAX, Hugging Face Transformers).
- Experience with data engineering and building robust data pipelines for AI/ML workloads on GCP (e.g., BigQuery, Dataflow).
- Solid understanding of core AI/ML concepts, including deep learning, neural networks, NLP, and machine learning algorithms.
- Familiarity with MLOps principles and tools for deploying, managing, and monitoring ML models in production.
- Excellent problem-solving skills, with a passion for building innovative and impactful AI solutions.
Preferred Qualifications:
- Google Professional Cloud Architect certification.
- Google Cloud Machine Learning Engineer or equivalent.
- Experience leading digital transformation or AI/ML adoption in enterprise retail environments.
- Familiarity with headless commerce, product catalog systems, and in-store analytics solutions.
- Knowledge of GDPR and other compliance frameworks relevant to retail.
- Strong stakeholder engagement and cross-functional collaboration skills.
Cloud Infrastructure Architect employer: Ubique Systems
Contact Detail:
Ubique Systems Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Infrastructure Architect
✨Tip Number 1
Make sure to showcase your experience in the retail sector during networking events or discussions. Connect with professionals who have a background in cloud architecture and retail, as they can provide insights and potentially refer you to opportunities.
✨Tip Number 2
Join online forums and communities focused on Google Cloud technologies and AI/ML. Engaging in these spaces can help you stay updated on industry trends and may lead to job openings that align with your expertise.
✨Tip Number 3
Consider attending webinars or workshops related to GCP and AI-driven solutions. These events not only enhance your knowledge but also allow you to network with industry leaders and potential employers.
✨Tip Number 4
Leverage LinkedIn to connect with hiring managers or recruiters at companies looking for Cloud Infrastructure Architects. A personalised message expressing your interest in their work can make a lasting impression and increase your chances of being noticed.
We think you need these skills to ace Cloud Infrastructure Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in cloud architecture, particularly within the retail sector. Emphasise your proficiency with Google Cloud technologies and any relevant projects you've worked on that align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that specifically addresses the key responsibilities outlined in the job description. Discuss your experience with vector search technologies and AI-driven systems, and how they can enhance customer experience in retail.
Showcase Relevant Projects: Include specific examples of past projects where you designed scalable cloud-native architectures or implemented AI solutions. Highlight your role, the technologies used, and the impact these projects had on the business.
Highlight Certifications: If you have relevant certifications, such as Google Professional Cloud Architect or Google Cloud Machine Learning Engineer, make sure to mention them prominently in your application. This will demonstrate your commitment to professional development in this field.
How to prepare for a job interview at Ubique Systems
✨Showcase Your Cloud Expertise
Make sure to highlight your extensive experience with Google Cloud Platform, especially in relation to the services mentioned in the job description. Be prepared to discuss specific projects where you've designed scalable architectures and how they benefited the retail sector.
✨Demonstrate AI/ML Knowledge
Since the role requires proficiency in AI/ML, be ready to talk about your hands-on experience with frameworks like TensorFlow or PyTorch. Discuss any relevant projects involving generative AI and how you implemented these technologies to solve real-world problems.
✨Prepare for Technical Questions
Expect technical questions related to vector search technologies and AI-driven systems. Brush up on tools like ScaNN and FAISS, and be ready to explain how you've used them to enhance product discovery and customer engagement in previous roles.
✨Engage with Real-World Scenarios
During the interview, try to engage the interviewer with real-world scenarios from your past experiences. Discuss how you collaborated with clients to assess their infrastructure and define cloud transformation strategies, showcasing your problem-solving skills and stakeholder engagement.
