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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 60000 - 84000 £ 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
Network with professionals in the retail and cloud architecture sectors. Attend industry events, webinars, or meetups to connect with potential colleagues or mentors who can provide insights into the role and possibly refer you.
✨Tip Number 2
Showcase your expertise in Google Cloud technologies by contributing to open-source projects or writing articles on platforms like Medium. This not only demonstrates your knowledge but also helps you build a personal brand in the cloud community.
✨Tip Number 3
Prepare for technical interviews by practising common cloud architecture scenarios, especially those related to retail. Be ready to discuss how you would implement vector search technologies and AI-driven solutions in real-world situations.
✨Tip Number 4
Familiarise yourself with the latest trends in AI and machine learning, particularly in the context of retail. Being able to discuss recent advancements and their applications will set you apart during discussions with our team.
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 can set you apart from other candidates.
How to prepare for a job interview at Ubique Systems
✨Showcase Your Retail Expertise
Make sure to highlight your experience in the retail sector during the interview. Discuss specific projects where you designed cloud solutions that improved customer experience or operational efficiency, as this will resonate well with the company's focus.
✨Demonstrate Technical Proficiency
Be prepared to discuss your hands-on experience with Google Cloud technologies, especially GCP services like Vertex AI and BigQuery. Bring examples of how you've implemented vector search technologies and AI-driven systems in previous roles.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think about challenges you've faced in cloud architecture and how you overcame them, particularly in relation to AI/ML and retail applications.
✨Engage in Collaborative Discussions
Since collaboration is key in this role, be ready to discuss how you've worked with cross-functional teams. Share experiences where you led workshops or technical reviews, showcasing your ability to engage stakeholders effectively.
