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- Tasks: Design cloud-native architectures for retail, enhancing customer experience and operational efficiency.
- Company: Join a leading tech firm focused on innovative solutions in the retail sector.
- Benefits: Enjoy flexible work options, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology, making a real impact in the retail industry.
- Qualifications: 10+ years in cloud architecture, with strong AI/ML expertise and retail experience required.
- Other info: Google Professional Cloud Architect certification is a must; passion for innovation is key.
The predicted salary is between 72000 - 108000 £ per year.
About the Role: 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.
- Google Professional Cloud Architect certification.
Preferred Qualifications:
- 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 Architect (AI Focus) employer: Infoplus Technologies UK Limited
Contact Detail:
Infoplus Technologies UK Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Architect (AI Focus)
✨Tip Number 1
Network with professionals in the retail and cloud architecture sectors. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn about the latest trends in AI and cloud technologies.
✨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 problem-solving scenarios related to cloud architecture and AI solutions. Use platforms like LeetCode or HackerRank to sharpen your skills in Python and AI/ML frameworks.
✨Tip Number 4
Familiarise yourself with the specific challenges faced by retail businesses in adopting cloud solutions. Understanding their pain points will allow you to tailor your discussions and demonstrate how your skills can directly address their needs.
We think you need these skills to ace Cloud Architect (AI Focus)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in cloud architecture and the retail sector. Emphasise your proficiency with Google Cloud technologies and any relevant projects you've worked on, especially those involving AI and vector search technologies.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about the role of Cloud Architect with an AI focus. Discuss your experience in designing scalable architectures and how you can enhance customer experience in retail through innovative solutions.
Showcase Relevant Projects: Include specific examples of past projects where you've implemented AI-driven solutions or optimised cloud architectures for retail clients. Highlight your hands-on experience with GCP tools and any successful outcomes from these projects.
Highlight Certifications: Mention any relevant certifications, such as Google Professional Cloud Architect or Google Cloud Machine Learning Engineer. This will demonstrate your commitment to professional development and expertise in the field.
How to prepare for a job interview at Infoplus Technologies UK Limited
✨Showcase Your Retail Experience
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 is crucial for the role.
✨Demonstrate Technical Proficiency
Be prepared to discuss your technical skills in vector search technologies and AI-driven systems. Bring examples of how you've implemented tools like ScaNN or FAISS in previous roles, and be ready to explain the impact of these technologies on product discovery.
✨Discuss Collaboration with Clients
Since the role involves working closely with retail clients, share experiences where you assessed infrastructure and defined cloud transformation strategies. Emphasise your ability to communicate complex technical concepts to non-technical stakeholders.
✨Prepare for Architecture Reviews
Expect to engage in discussions about architecture reviews and technical workshops. Brush up on best practices for cloud-native architectures and be ready to present your ideas on how to ensure security and compliance in retail environments.
