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- Tasks: Lead AI infrastructure projects and engage with clients to deliver innovative solutions.
- Company: Top tech solutions provider in the UK with a focus on cutting-edge technology.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a significant impact in AI infrastructure and work with advanced GPU technologies.
- Qualifications: Expertise in GPU architectures and datacentre networking required.
- Other info: Join a dynamic team and thrive in a customer-focused environment.
The predicted salary is between 54000 - 84000 £ per year.
A leading technology solutions provider in the UK seeks a Senior Solutions Architect specializing in NVIDIA AI infrastructure. This strategic role is ideal for someone with deep expertise in GPU architectures and datacenter networking.
The successful candidate will lead pre-sales engagements, work with clients on solutions, and help define AI infrastructure strategy. If you’re ready to have a significant impact and thrive in customer-focused environments, this position is for you.
Senior AI Infrastructure Architect (NVIDIA GPUs) in England employer: Computacenter
Contact Detail:
Computacenter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Infrastructure Architect (NVIDIA GPUs) in England
✨Tip Number 1
Network like a pro! Reach out to industry professionals on LinkedIn or attend tech meetups. Building connections can open doors to opportunities that aren’t even advertised.
✨Tip Number 2
Showcase your expertise! Create a portfolio or blog where you share insights about NVIDIA AI infrastructure and GPU architectures. This not only demonstrates your knowledge but also makes you memorable to potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI infrastructure and datacentre networking. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Senior AI Infrastructure Architect (NVIDIA GPUs) in England
Some tips for your application 🫡
Showcase Your Expertise: Make sure to highlight your deep knowledge of GPU architectures and datacentre networking in your application. We want to see how your experience aligns with the role, so don’t hold back on those technical details!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements mentioned in the job description. We love it when candidates take the time to connect their skills with what we’re looking for!
Demonstrate Customer Focus: Since this role is all about client engagement, share examples of how you’ve successfully worked with clients in the past. We want to know how you can thrive in customer-focused environments just like ours!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Computacenter
✨Know Your NVIDIA Stuff
Make sure you brush up on your knowledge of NVIDIA GPU architectures. Be ready to discuss specific projects where you've implemented these technologies, as well as any challenges you faced and how you overcame them.
✨Understand Datacentre Networking
Since this role involves datacentre networking, it’s crucial to have a solid grasp of networking principles. Prepare to explain how you've designed or optimised network solutions in previous roles, and be ready to discuss the latest trends in datacentre technology.
✨Showcase Your Pre-Sales Experience
This position requires leading pre-sales engagements, so think of examples where you've successfully pitched solutions to clients. Highlight your communication skills and how you tailor your approach to meet client needs.
✨Be Customer-Focused
As this role thrives in customer-focused environments, prepare to share stories that demonstrate your ability to build relationships with clients. Discuss how you’ve gathered client feedback and used it to shape AI infrastructure strategies.
