At a Glance
- Tasks: Lead the design of innovative Azure AI architectures for enterprise clients.
- Company: Join a top Microsoft AI partner, delivering cutting-edge solutions across various industries.
- Benefits: Enjoy flexible working, well-being coaching, and professional development support.
- Why this job: Shape impactful AI systems while collaborating in an agile, innovative environment.
- Qualifications: Experience in Azure, Generative AI, and strong technical skills in Python and SQL required.
- Other info: Hybrid work model with 1-2 days onsite in London.
The predicted salary is between 72000 - 92000 £ per year.
Location: London Hybrid (SE1) – 1–2 days onsite Salary: £90 – £115K Including Bonus Flexible working, Well-being coaching & Professional development support Start: ASAP The Client: One of Microsoft’s Top 10 AI Partner in the UK, delivering cutting-edge GenAI and data-driven solutions across industries such as finance, reinsurance, retail, life sciences, logistics, and smart technology. This innovative digital consultancy builds scalable, secure, and impactful AI systems using the full Azure ecosystem. Were looking for a confident, articulate technologist with strong stakeholder presence, experience in pre-sales, and the ability to define and deliver intelligent, scalable Azure-based AI architectures. Whether your background is in ML, data engineering, or cloud infrastructure, you’re ready to own solution design and lead client-facing innovation. You’re curious, commercially aware, and thrive in collaborative, agile environments. As a GenAI Solution Architect, you’ll take the lead in shaping end-to-end Azure AI architectures, from discovery and PoCs through to delivery and optimisation. You’ll work directly with enterprise clients, defining RAG systems, Agentic AI solutions, knowledge base integrations, and driving forward both client success and internal AI accelerators. Design scalable, secure Azure AI architectures tailored to client needs. Define and deliver solutions involving RAG systems, Agentic AI, knowledge bases, and MCP integrations. Ensure best practice in responsible AI, data management, and security. Monitor performance and optimise ongoing AI solutions. Contribute to internal AI accelerators and communities of practice. Stay ahead of AI trends and emerging technologies. Participate in the business’s internal communities. A strong grasp of Microsoft Azure and Generative AI solutions, from envisioning through to engineering, evaluation and evergreening. An Azure background in either Software Development (e.g. C#, Kubernetes, App Services, Functions, Python, etc) or Data Platform (Microsoft Fabric, Databricks, Python, etc) , combined with Generative AI experience. Able to consult, advise, architect, and estimate project work. Strong analysis, requirements gathering and solution modelling. Solid engineering experience in python, SQL, and related technologies. A good understanding of DevOps, Infrastructure as Code, GitHub, and CI/CD promotion. Microsoft certifications and knowledge of Copilot Studio is a plus. To apply for this AI Cloud Solution Architect job, please click the button below and submit your latest CV. Curo Resourcing Ltd acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies. #
Cloud Solution Architect-Permanent employer: Curo Resourcing Ltd.
Contact Detail:
Curo Resourcing Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Solution Architect-Permanent
✨Tip Number 1
Familiarise yourself with the latest trends in Generative AI and Microsoft Azure. Being well-versed in these areas will not only boost your confidence during interviews but also demonstrate your commitment to staying ahead in the field.
✨Tip Number 2
Network with professionals in the AI and cloud computing sectors. Attend relevant meetups or webinars to connect with industry experts, which can provide valuable insights and potentially lead to referrals for the position.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented Azure-based solutions. Highlight your role in these projects, focusing on your problem-solving skills and how you contributed to client success.
✨Tip Number 4
Showcase your understanding of responsible AI practices and data management. Be ready to discuss how you ensure best practices in these areas, as this is crucial for the role and will set you apart from other candidates.
We think you need these skills to ace Cloud Solution Architect-Permanent
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Azure, Generative AI, and any specific technologies mentioned in the job description. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the role and the company. Mention your experience with AI architectures and how you can contribute to their innovative projects. Be sure to express your enthusiasm for the position.
Showcase Relevant Projects: Include examples of past projects where you've designed or implemented Azure-based solutions. Highlight your role in these projects and the impact they had on the clients or the organisation.
Highlight Soft Skills: Since the role requires strong stakeholder presence and collaboration, emphasise your communication skills and ability to work in agile environments. Provide examples of how you've successfully collaborated with teams or clients in the past.
How to prepare for a job interview at Curo Resourcing Ltd.
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Microsoft Azure and Generative AI solutions in detail. Highlight specific projects where you've designed or implemented scalable AI architectures, and be ready to explain the technologies you used, such as Python, SQL, or Kubernetes.
✨Demonstrate Stakeholder Engagement Skills
Since the role requires strong stakeholder presence, practice articulating how you've successfully engaged with clients in previous roles. Share examples of how you've gathered requirements and delivered solutions that met client needs, showcasing your ability to consult and advise effectively.
✨Stay Current with AI Trends
Research the latest trends in AI and cloud technologies before your interview. Being able to discuss emerging technologies and their potential impact on the industry will demonstrate your curiosity and commercial awareness, which are key traits for this role.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and ability to design solutions under pressure. Practice articulating your thought process when faced with challenges related to AI architecture, data management, or security best practices.