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- Tasks: Design innovative cloud solutions for retail using AI to enhance customer experiences.
- Company: Join W3Global, a leader in staffing and recruiting, focused on tech innovation.
- Benefits: Enjoy flexible work options, competitive pay, and opportunities for professional growth.
- Why this job: Be at the forefront of AI in retail, making a real impact on customer engagement.
- Qualifications: Requires a degree in Computer Science and extensive experience in cloud architecture and AI.
- Other info: This is a mid-senior level contract position based in London.
The predicted salary is between 48000 - 84000 £ per year.
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Cloud Architect (AI focus) – Retail
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.
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Contract
Job function
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Job function
Information Technology
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Industries
Staffing and Recruiting
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Cloud Architect (AI focus) – Retail employer: W3Global
Contact Detail:
W3Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Architect (AI focus) – Retail
✨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 AI and cloud solutions.
✨Tip Number 2
Showcase your expertise in GCP and AI/ML by contributing to open-source projects or writing articles on platforms like Medium. This not only builds your portfolio but also demonstrates your commitment to the field.
✨Tip Number 3
Prepare for technical interviews by practising problem-solving scenarios related to cloud architecture and AI applications in retail. Use platforms like LeetCode or HackerRank to sharpen your skills.
✨Tip Number 4
Familiarise yourself with the specific challenges faced by retail businesses in adopting cloud solutions. Understanding these pain points will help you tailor your discussions and demonstrate your value during interviews.
We think you need these skills to ace Cloud Architect (AI focus) – Retail
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in cloud architecture and AI/ML engineering, especially within the retail sector. Emphasise relevant projects and technologies you've worked with, such as GCP services and vector similarity tools.
Craft a Compelling Cover Letter: Write a cover letter that connects your skills and experiences directly to the job description. Discuss your passion for AI solutions in retail and how your background aligns with the responsibilities of the Cloud Architect role.
Showcase Relevant Projects: Include specific examples of past projects where you designed cloud-native solutions or implemented AI systems. Highlight your role, the technologies used, and the impact these projects had on customer experience or operational efficiency.
Highlight Certifications: If you have relevant certifications, such as Google Professional Cloud Architect or Machine Learning Engineer, make sure to mention them prominently. This can set you apart from other candidates and demonstrate your commitment to professional development.
How to prepare for a job interview at W3Global
✨Showcase Your Cloud Expertise
Make sure to highlight your extensive experience with Google Cloud Platform (GCP) and the specific services mentioned in the job description, such as Vertex AI and BigQuery. Be prepared to discuss past projects where you successfully implemented cloud architectures, especially in a retail context.
✨Demonstrate AI/ML Knowledge
Since the role focuses on AI, it's crucial to showcase your understanding of AI/ML concepts and frameworks. Prepare examples of how you've used tools like TensorFlow or PyTorch in previous roles, particularly in relation to generative AI and vector similarity tools.
✨Prepare for Technical Questions
Expect technical questions related to cloud architecture and AI solutions. Brush up on your knowledge of microservices, event-driven systems, and MLOps principles. Being able to explain complex concepts clearly will demonstrate your expertise and communication skills.
✨Engage with Retail Scenarios
Since this position is within the retail sector, be ready to discuss how your solutions can enhance customer experience and supply chain efficiency. Think of specific examples where you've collaborated with clients to transform their infrastructure and improve engagement analytics.
