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For Companies At a Glance
- Tasks: Design and deliver high-performance GPU cloud environments for AI workloads.
- Company: Global technology company with a focus on innovation and collaboration.
- Benefits: Competitive salary, remote work flexibility, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and tackle complex challenges in AI and GPU technology.
- Qualifications: Experience in GPU compute, HPC, and AI/ML infrastructure is essential.
- Other info: Work remotely with occasional travel to customer sites for hands-on support.
The predicted salary is between 120000 - 150000 £ per year.
A global technology company is looking for a Solution Architect to design and deliver high-performance GPU cloud environments. You’ll work directly with customers, engineering, and infrastructure teams to ensure AI workloads run efficiently at scale.
Who This Role Is For
Hands-on architects with deep experience in GPU, HPC, or AI/ML infrastructure. You’re comfortable bridging technical teams and customer needs, solving complex scaling challenges, and owning architectural decisions in a remote contract environment.
Key Responsibilities
- Design GPU solutions, including cluster sizing, networking, and performance optimization.
- Provide guidance on compute, storage, networking, and deployment architectures.
- Identify performance or scaling bottlenecks and recommend improvements.
- Support customer onboarding, proofs of concept, and production deployments.
What They’re Looking For
- Strong experience with GPU compute, HPC, and AI/ML workloads.
- Solid understanding of networking (L2/L3, InfiniBand, RoCE) and storage systems.
- Hands-on experience deploying or supporting GPU clusters.
- Experience with Kubernetes and Terraform in production environments.
Interview Process:
- 15 Min Call with Talent
- 2x Technical Calls (60 min)
- Very occasional travel to customer sites will be required.
If you are interested in the role and would like to know more, please reach out with your latest CV and I will be in touch if relevant.
Solutions Architect in London employer: TechShack
Contact Detail:
TechShack Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Architect in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with GPU or AI/ML. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Prepare for those technical calls! Brush up on your knowledge of GPU compute, networking, and Kubernetes. Practising common interview questions can help you feel more confident when discussing your experience.
✨Tip Number 3
Showcase your hands-on experience! When you get the chance to speak with potential employers, highlight specific projects where you've designed or optimised GPU solutions. Real-world examples make a big impact.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Solutions Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with GPU, HPC, and AI/ML workloads. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Solutions Architect role. We love seeing your personality come through, so feel free to share your passion for technology and problem-solving.
Showcase Your Technical Skills: In your application, make sure to mention your hands-on experience with Kubernetes, Terraform, and any other relevant technologies. We’re looking for someone who can bridge technical teams and customer needs, so highlight those skills!
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 makes the process smoother for everyone involved!
How to prepare for a job interview at TechShack
✨Know Your Tech Inside Out
Make sure you’re well-versed in GPU, HPC, and AI/ML infrastructure. Brush up on your knowledge of networking and storage systems, as these will be crucial in the interview. Be ready to discuss specific projects where you've deployed or supported GPU clusters.
✨Showcase Problem-Solving Skills
Prepare to talk about how you've tackled performance or scaling bottlenecks in the past. Use real examples to illustrate your thought process and the solutions you implemented. This will demonstrate your ability to bridge technical teams and customer needs effectively.
✨Familiarise Yourself with Tools
Since experience with Kubernetes and Terraform is a must, make sure you can discuss your hands-on experience with these tools. Be ready to explain how you've used them in production environments and any challenges you faced along the way.
✨Engage with the Interviewers
Don’t just wait for questions; engage with your interviewers. Ask insightful questions about their current projects or challenges they face. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.