Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design and delivery of enterprise AI solutions using Azure technologies.
- Company: A forward-thinking UK-based technology consultancy.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of AI while mentoring talented engineering teams.
- Qualifications: 15+ years of experience, with strong Azure and AI/ML expertise.
- Other info: Join a dynamic team and make a significant impact in the tech industry.
The predicted salary is between 54000 - 84000 £ per year.
A UK-based technology consultancy is seeking an Azure AI Architect to lead the design and delivery of enterprise AI solutions leveraging Azure technologies. The ideal candidate will have over 15 years of experience with 7+ years in Azure cloud and 5+ years in AI/ML.
Responsibilities include:
- Defining reference architectures
- Ensuring compliance with regulations
- Mentoring engineering teams
This is a hybrid role requiring 3 days in the office per week.
Azure AI Architect: Enterprise GenAI & MLOps Lead in Southampton employer: Stackstudio Digital Ltd.
Contact Detail:
Stackstudio Digital Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure AI Architect: Enterprise GenAI & MLOps Lead in Southampton
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with Azure or AI. A friendly chat can lead to insider info about job openings that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects related to Azure and AI. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common Azure and AI-related questions. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Azure AI Architect: Enterprise GenAI & MLOps Lead in Southampton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure and AI/ML. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI solutions and how your background makes you the perfect fit for our team. Keep it engaging and personal!
Showcase Your Leadership Skills: Since this role involves mentoring engineering teams, we’d love to see examples of your leadership experience. Share specific instances where you’ve guided teams or led projects to success.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Stackstudio Digital Ltd.
✨Know Your Azure Inside Out
Make sure you brush up on your Azure knowledge, especially the latest features and services. Be ready to discuss how you've leveraged Azure technologies in past projects, particularly in AI and ML contexts.
✨Showcase Your Leadership Skills
As this role involves mentoring engineering teams, prepare examples of how you've successfully led teams in the past. Highlight specific instances where your guidance made a significant impact on project outcomes.
✨Understand Compliance and Regulations
Familiarise yourself with the compliance standards relevant to AI solutions. Be prepared to discuss how you've ensured adherence to regulations in previous roles, as this is crucial for the consultancy's operations.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think about challenges you've faced in AI/ML projects and how you overcame them, as this will demonstrate your practical experience.
