AI Cloud Solution Architect (London)
AI Cloud Solution Architect (London)

AI Cloud Solution Architect (London)

Hammersmith Full-Time 72000 - 108000 £ / year (est.) Home office (partial)
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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: Be at the forefront of AI innovation in a collaborative and 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 72000 - 108000 £ per year.

Location: London Hybrid (SE1) 12 days onsite
Want to make an application Make sure your CV is up to date, then read the following job specs carefully before applying.
Salary: 90 115K Including Bonus
Benefits: Flexible working, Well-being coaching & Professional development support
Start: ASAP

The Client:
One of Microsofts 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:
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, youre ready to own solution design and lead client-facing innovation. Youre curious, commercially aware, and thrive in collaborative, agile environments.

The Role:
As a GenAI Solution Architect, youll take the lead in shaping end-to-end Azure AI architectures, from discovery and PoCs through to delivery and optimisation. Youll 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 businesss 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.

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AI Cloud Solution Architect (London) employer: Curo Resourcing Ltd.

As a leading digital consultancy and one of Microsoft's Top 10 AI Partners in the UK, we offer an exceptional work environment in London that fosters innovation and collaboration. Our commitment to employee well-being is reflected in our flexible working arrangements, professional development support, and opportunities for mentorship, ensuring that you can thrive both personally and professionally while contributing to cutting-edge AI solutions across diverse industries.
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Contact Detail:

Curo Resourcing Ltd. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Cloud Solution Architect (London)

✨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 computing sectors. Attend relevant meetups or webinars to connect with potential colleagues or industry leaders who might provide insights or referrals for the role.

✨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 be crucial in demonstrating your stakeholder management skills.

✨Tip Number 4

Brush up on your presentation skills. As a Solution Architect, you'll need to communicate complex ideas clearly to clients, so practice explaining technical concepts in a straightforward manner to non-technical audiences.

We think you need these skills to ace AI Cloud Solution Architect (London)

Microsoft Azure Expertise
Generative AI Solutions Knowledge
Software Development (C#, Python, Kubernetes)
Data Platform Experience (Microsoft Fabric, Databricks)
Pre-sales Engagement Skills
Solution Design and Architecture
Requirements Gathering
Solution Modelling
Engineering Experience in Python and SQL
DevOps Understanding
Infrastructure as Code Proficiency
GitHub and CI/CD Knowledge
Excellent Verbal and Written Communication
Presentation Skills
Stakeholder Management
Curiosity and Continuous Learning
Microsoft Certifications
Knowledge of Copilot Studio

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, as well as any pre-sales experience you have.

Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the role and the company. Mention specific projects or experiences that demonstrate your ability to design scalable Azure AI architectures and lead client engagements.

Highlight Key Skills: In your application, clearly outline your technical skills such as Python, SQL, and DevOps practices. Also, mention any Microsoft certifications or knowledge of Copilot Studio to stand out.

Showcase Your Soft Skills: Since the role requires strong stakeholder presence and collaboration, include examples of how you've successfully worked with clients or teams in the past. Highlight your communication and presentation skills.

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 meet the role's requirements.

✨Prepare for Stakeholder Engagement

Since the role involves working closely with various stakeholders, practice articulating complex technical concepts in a way that is accessible to non-technical audiences. This will help you showcase your strong stakeholder presence during the interview.

✨Demonstrate Your Curiosity

Express your passion for learning about emerging AI trends and technologies. Share examples of how you've kept up-to-date with industry developments, as this aligns with the company's innovative culture and their focus on continuous improvement.

✨Practice Problem-Solving Scenarios

Expect to encounter scenario-based questions that assess your problem-solving skills. Prepare by thinking through potential challenges you might face when designing AI solutions and how you would approach them, particularly in a collaborative environment.

AI Cloud Solution Architect (London)
Curo Resourcing Ltd.

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