Find a job 
Featured Companies 
Featured Universities 
For Companies 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 a dynamic, agile environment.
- Qualifications: Strong Azure and Generative AI knowledge; experience in software development or data platforms required.
- Other info: Opportunity to mentor and contribute to internal AI communities.
The predicted salary is between 90000 - 115000 £ per year.
Location: London Hybrid (SE1) – 1–2 days onsite
Salary: £90 – £115K Including Bonus
Benefits: 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.
The Candidate: We are 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.
The Role: 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.
Key Responsibilities:
- Design scalable, secure Azure AI architectures tailored to client needs.
- Work closely with customer business and technical stakeholders.
- Define and deliver solutions involving RAG systems, Agentic AI, knowledge bases, and MCP integrations.
- Lead pre-sales engagements including PoCs, workshops, and stakeholder briefings.
- Collaborate with engineers, analysts, and scientists to guide delivery.
- 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.
- Mentor and provide Technical Leadership.
- Participate in the business’s internal communities.
Requirements:
- 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.
- Excellent verbal, written, and presentation skills.
- Experience working with customers of various industries and size (e.g. SMC, Enterprise).
- A natural curiosity and appetite for learning and continuous improvement.
- 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 Services endeavour to respond to all applications. However, this may not always be possible during periods of high volume. Thank you for your patience.
Curo Resourcing Ltd acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.
AI Cloud Solution Architect employer: Curo Resourcing Ltd.
Contact Detail:
Curo Resourcing Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Cloud Solution Architect
✨Tip Number 1
Familiarise yourself with the latest trends in Generative AI and Microsoft Azure. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the AI and cloud solution space. Attend relevant meetups or webinars where you can connect with industry experts, which may lead to valuable insights or even referrals for the position.
✨Tip Number 3
Prepare to showcase your experience in pre-sales engagements. Think of specific examples where you've successfully led workshops or PoCs, as this will highlight your ability to engage with stakeholders effectively.
✨Tip Number 4
Brush up on your presentation skills. As a Solution Architect, you'll need to communicate complex ideas clearly. Practising how to present your architectural designs and solutions can set you apart from other candidates.
We think you need these skills to ace AI Cloud Solution Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Azure and Generative AI solutions. Emphasise your skills in software development or data platforms, and showcase any projects that demonstrate your ability to design scalable AI architectures.
Craft a Compelling Cover Letter: Write a cover letter that reflects your understanding of the role and the company. Mention specific experiences that align with the responsibilities of the AI Cloud Solution Architect position, such as leading pre-sales engagements or collaborating with stakeholders.
Showcase Your Technical Skills: In your application, clearly outline your technical skills, especially in Python, SQL, and Azure technologies. Include any relevant certifications and mention your familiarity with DevOps practices and CI/CD processes.
Highlight Soft Skills: Don’t forget to include soft skills that are crucial for this role, such as strong communication abilities and a collaborative mindset. Provide examples of how you've successfully worked with diverse teams or led client-facing initiatives.
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 scalable architectures or led pre-sales engagements, as this will demonstrate your capability to handle the responsibilities of the role.
✨Engage with Stakeholders
Since the role involves working closely with various stakeholders, practice articulating your ideas clearly and confidently. Prepare examples of how you've successfully collaborated with both technical and non-technical teams to deliver solutions that meet client needs.
✨Demonstrate Your Curiosity
Show your passion for continuous learning and staying ahead of AI trends. Discuss any recent developments in AI that excite you and how you plan to incorporate them into your work. This will reflect your proactive approach and commitment to innovation.
✨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, particularly in relation to RAG systems and Agentic AI solutions.