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- Tasks: Design and deploy AI-optimised data centres globally, ensuring high-performance compute environments.
- Company: Join a leading tech company collaborating with Dell and NVIDIA on cutting-edge AI solutions.
- Benefits: Enjoy flexible working options, competitive pay, and opportunities for international travel.
- Why this job: Be at the forefront of AI technology, working in a dynamic environment with innovative teams.
- Qualifications: 5+ years in data centre design, hands-on with Dell and NVIDIA systems, and strong project management skills.
- Other info: Contract role with potential for international travel and tight project deadlines.
The predicted salary is between 43200 - 72000 £ per year.
We are looking for a highly skilled and execution-driven Solution Architect to support the design, integration, and rollout of AI-optimized data centers across global sites. This contract-based role is ideal for a hands-on architect with a deep understanding of AI infrastructure, data center deployment, and proven experience working with Dell hardware and NVIDIA DGX systems.
The successful candidate will serve as the technical backbone for AI pod deployments, collaborating with internal and external stakeholders to deliver scalable, high-density compute environments ready for cutting-edge AI/ML workloads.
Key Responsibilities- AI Data Center Architecture & Design
- Architect end-to-end solutions for AI-ready data centers, including layout, rack elevation, power/cooling design, and high-performance compute configurations.
- Design scalable and modular infrastructures built around Dell server/storage platforms and NVIDIA DGX clusters.
- Lead the deployment of AI GPU pods, ensuring infrastructure readiness for NVIDIA-led commissioning.
- Oversee hardware integration and network configuration of DGX systems with Dell infrastructure (e.g., VxRail, PowerEdge, and high-performance storage).
- Act as a technical liaison between internal teams, Dell build partners, and NVIDIA commissioning teams.
- Coordinate with engineering, operations, and facility management to ensure alignment with technical roadmaps and delivery schedules.
- Support concurrent global site deployments, providing technical guidance to implementation teams and local contractors.
- Ensure consistency in design standards, deployment methods, and operational handoffs.
- Validate deployments against local compliance, sustainability, and Tier III+ design standards.
- Deliver comprehensive handover documentation, SOPs, and runbooks for operational teams.
- 5+ years of experience in data center infrastructure design and deployment, particularly for AI and HPC workloads.
- Hands-on experience with Dell technologies (PowerEdge, PowerScale, VxRail, etc.) in high-density compute environments.
- Proven deployment and integration experience with NVIDIA DGX systems, including familiarity with NVLink, NVIDIA Base Command, and commissioning processes.
- Deep understanding of AI/ML workload requirements, cooling and power density challenges, and scalable GPU cluster design.
- Strong background in working with third-party vendors and managing complex, multi-site project deployments.
- Comfortable working in a contract role with international travel and tight project deadlines.
- Experience designing or managing DGX SuperPOD or similar AI pod infrastructures.
- Familiarity with containerized workloads (e.g., Kubernetes), Mellanox networking, and InfiniBand fabric design.
- Experience in the EMEA region with a strong understanding of local data center compliance requirements.
Solutions Architect employer: WNTD
Contact Detail:
WNTD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Architect
✨Tip Number 1
Familiarise yourself with the latest trends in AI data centre technologies, especially those related to Dell and NVIDIA. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the field of AI infrastructure and data centre deployment. Attend industry events or join online forums where you can connect with others who have experience with Dell and NVIDIA systems.
✨Tip Number 3
Prepare to discuss specific projects you've worked on that relate to AI data centre design and deployment. Be ready to explain your role, the challenges you faced, and how you overcame them, as this will showcase your hands-on experience.
✨Tip Number 4
Research StudySmarter's values and mission to align your responses during interviews. Showing that you understand our culture and how you can contribute will make a positive impression on the hiring team.
We think you need these skills to ace Solutions Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data center infrastructure design and deployment, particularly with Dell technologies and NVIDIA DGX systems. Use specific examples to demonstrate your hands-on experience and technical skills.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of AI infrastructure and your ability to collaborate with various stakeholders. Mention any specific projects where you've successfully led deployments or worked with third-party vendors.
Highlight Key Skills: In your application, emphasise your knowledge of AI/ML workload requirements, cooling and power density challenges, and scalable GPU cluster design. These are crucial for the Solutions Architect role.
Showcase International Experience: If you have experience working in the EMEA region or managing multi-site project deployments, make sure to include this in your application. It demonstrates your capability to handle the global nature of the role.
How to prepare for a job interview at WNTD
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with Dell technologies and NVIDIA DGX systems. Highlight specific projects where you designed or deployed AI data centres, focusing on the challenges you faced and how you overcame them.
✨Demonstrate Collaboration Skills
Since this role involves working with various stakeholders, be ready to share examples of how you've successfully collaborated with internal teams and external vendors. Emphasise your ability to act as a technical liaison and ensure alignment across different groups.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about situations where you had to validate deployments against compliance standards or manage multi-site rollouts, and be ready to explain your approach.
✨Understand AI/ML Workload Requirements
Familiarise yourself with the specific requirements of AI and ML workloads, including cooling and power density challenges. Be prepared to discuss how you would design scalable GPU clusters to meet these demands, showcasing your deep understanding of the field.