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- Tasks: Design and implement innovative AWS cloud solutions for top-tier clients.
- Company: Global professional services company with a focus on cutting-edge technology.
- Benefits: Competitive salary, extensive benefits, and opportunities for continuous learning.
- Why this job: Lead teams in creating impactful AI/ML solutions and drive client success.
- Qualifications: Experience in AWS cloud services and strong leadership skills.
- Other info: Based in London with excellent career advancement opportunities.
The predicted salary is between 54000 - 84000 £ per year.
A global professional services company is looking for an AWS Solution Architect (Data & AI Specialist) to design and implement innovative cloud solutions for tier-1 clients. The ideal candidate will have significant experience in AWS cloud services, strong understanding of data platforms and AI/ML solutions. This role requires leadership skills to manage teams and projects effectively, promoting continuous learning and client value creation. The position is based in London and includes a competitive salary and extensive benefits.
AWS Data & AI Cloud Architect – Manager employer: WeAreTechWomen
Contact Detail:
WeAreTechWomen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data & AI Cloud Architect – Manager
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with AWS or in data and AI. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects related to AWS, data platforms, and AI/ML solutions. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common AWS scenarios and case studies. We recommend practising your problem-solving skills and being ready to discuss how you've led teams and managed projects effectively.
✨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 and engaged with our platform.
We think you need these skills to ace AWS Data & AI Cloud Architect – Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS cloud services and data platforms. We want to see how your skills align with the role, so don’t be shy about showcasing your AI/ML expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about cloud solutions and how you can lead teams effectively. Let us know how you create value for clients!
Showcase Leadership Experience: Since this role involves managing teams and projects, we’d love to see examples of your leadership skills. Share specific instances where you’ve led a project or mentored others in your application.
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 this exciting opportunity!
How to prepare for a job interview at WeAreTechWomen
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge, especially around data platforms and AI/ML solutions. Be ready to discuss specific services like S3, Lambda, and SageMaker, and how you've used them in past projects.
✨Showcase Your Leadership Skills
Since this role involves managing teams, prepare examples of how you've led projects or mentored others. Think about challenges you've faced and how you motivated your team to overcome them.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to cloud architecture. Practice articulating your thought process clearly, as this will demonstrate your problem-solving skills and technical expertise.
✨Emphasise Continuous Learning
This role values continuous learning, so be ready to discuss how you stay updated with the latest trends in AWS and AI/ML. Mention any relevant certifications or courses you've completed recently to show your commitment to professional growth.
