At a Glance
- Tasks: Lead technical solutions for AI infrastructure and collaborate with sales and engineering teams.
- Company: Specialist Managed Service Provider investing in cutting-edge AI infrastructure.
- Benefits: Competitive salary, bonus opportunities, and hybrid work model.
- Other info: Exciting growth potential in a dynamic AI-focused environment.
- Why this job: Shape the future of AI technology and influence key architectural decisions.
- Qualifications: Experience in Pre-Sales/Solutions Architecture and strong VMware expertise.
The predicted salary is between 90000 - 110000 £ per year.
This is an exciting opportunity with a specialist Managed Service Provider that is making a major investment into the AI infrastructure and GPU compute space, a unique opportunity to join a business that owns and operates its own data centre environment and is now building high-density infrastructure solutions to support next-generation AI workloads.
We are looking for a Senior Pre-Sales/Solutions Architect to act as the technical lead across customer discovery, solution design, and infrastructure architecture - sitting between sales, engineering, and enterprise customers.
Key experience we’re looking for:
- Pre-Sales/Solutions Architecture background
- Strong VMware & private cloud expertise
- Experience within MSP, cloud or enterprise infrastructure environments
- Customer-facing and consultative solution design experience
- Strong understanding of compute, storage, networking & data centre technologies
- Exposure to AI/GPU/HPC environments is beneficial
Why this role stands out:
- Greenfield AI infrastructure build-out with significant growth plans
- Opportunity to help shape a GPUaaS/AI platform from an early stage
- Real ownership and influence over technical and architectural decisions
- Exposure to next-generation AI, HPC and GPU technologies
- Blend of customer engagement, technical consulting, and strategic solution design
- Close collaboration with CTO-level stakeholders and enterprise customers
- Join a business with owned infrastructure and genuine market differentiation
- Opportunity to transition into AI/GPU infrastructure from a VMware/private cloud background
- Strong long-term progression potential as the AI division scales
Please apply if this sounds like something you might be interested in, or at least worth a chat.
Presales Engineer in London employer: Hamilton Barnes 🌳
Join a forward-thinking Managed Service Provider in Central London, where you will be at the forefront of AI infrastructure development. With a strong emphasis on employee growth and a collaborative work culture, this role offers the chance to influence cutting-edge technology solutions while enjoying a competitive salary and bonus structure. The company’s commitment to innovation and its unique data centre environment provide an exceptional platform for career advancement in the rapidly evolving AI landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Presales Engineer in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI infrastructure space. Attend meetups, webinars, or industry events to meet potential employers and learn about opportunities that might not be advertised.
✨Tip Number 2
Show off your expertise! Prepare a portfolio or case studies showcasing your previous work in pre-sales or solutions architecture. This will help you stand out during interviews and demonstrate your value to potential employers.
✨Tip Number 3
Practice your pitch! Be ready to explain complex technical concepts in simple terms. As a Presales Engineer, you'll need to communicate effectively with both technical and non-technical stakeholders, so practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic roles waiting for you, and applying directly can sometimes give you an edge. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Presales Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Pre-Sales/Solutions Architecture experience, especially with VMware and private cloud. We want to see how your skills align with the AI infrastructure space, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background fits into our vision for AI infrastructure. Let us know what makes you tick and why you’d be a great fit for our team.
Showcase Your Customer Engagement Skills:Since this role involves a lot of customer interaction, make sure to highlight any consultative solution design experience you have. We love seeing examples of how you've successfully engaged with clients and delivered tailored solutions.
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. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Hamilton Barnes 🌳
✨Know Your Tech Inside Out
As a Presales Engineer, you'll need to demonstrate your expertise in VMware and private cloud solutions. Brush up on the latest trends in AI infrastructure and GPU technologies, and be ready to discuss how these can benefit potential clients.
✨Showcase Your Customer Engagement Skills
This role involves a lot of customer interaction, so prepare examples of how you've successfully engaged with clients in the past. Think about times when you’ve designed solutions based on their needs and how you communicated complex technical concepts in an understandable way.
✨Understand the Business Landscape
Familiarise yourself with the Managed Service Provider (MSP) market and the specific challenges companies face in AI and GPU environments. This knowledge will help you position yourself as a valuable asset who understands not just the technology, but also the business implications.
✨Prepare for Technical Scenarios
Expect to tackle technical scenarios during the interview. Practice articulating your thought process in designing infrastructure solutions and how you would approach customer discovery. Being able to think on your feet will impress the interviewers.
