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- Tasks: Design and implement cloud-native architectures for retail, enhancing customer experience and operational efficiency.
- Company: Join a leading firm transforming retail through innovative cloud solutions and AI technologies.
- Benefits: Enjoy remote work flexibility and the chance to work with cutting-edge technologies in a dynamic environment.
- Why this job: Be at the forefront of AI-driven retail solutions, making a real impact on customer engagement and satisfaction.
- Qualifications: 10+ years in cloud architecture, with strong expertise in AI/ML and retail industry experience required.
- Other info: Contract role with potential for extension; ideal for tech-savvy innovators ready to shape the future.
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
Network with professionals in the retail and cloud architecture sectors. Attend industry events, webinars, or meetups to connect with potential colleagues and learn about the latest trends in GCP and AI technologies.
✨Tip Number 2
Showcase your expertise in vector search technologies and AI-driven systems through personal projects or contributions to open-source initiatives. This hands-on experience can set you apart from other candidates.
✨Tip Number 3
Engage with the Google Cloud community by participating in forums, discussion groups, or online courses. This will not only enhance your knowledge but also demonstrate your commitment to staying updated in the field.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving scenarios related to cloud architecture and AI/ML applications in retail. Familiarise yourself with common challenges faced in the industry and how to address them effectively.
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. This will demonstrate your commitment to professional development and expertise in the field.
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 interviewers.
✨Demonstrate Technical Proficiency
Be prepared to discuss your hands-on experience with Google Cloud technologies, especially GCP services like Vertex AI and BigQuery. You might be asked to solve a technical problem on the spot, so brush up on vector search technologies and AI-driven systems.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think about how you would approach designing scalable architectures or implementing AI solutions in a retail context, and be ready to explain your thought process clearly.
✨Engage with Stakeholders
Since strong stakeholder engagement is crucial for this role, prepare examples of how you've collaborated with clients or cross-functional teams in the past. Highlight your communication skills and ability to translate technical concepts into business value.