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- Tasks: Design and deploy AI-optimised data centres globally, ensuring high-performance environments.
- Company: Join a leading tech company at the forefront of AI infrastructure innovation.
- Benefits: Enjoy flexible working options and opportunities for international travel.
- Why this job: Be part of cutting-edge AI projects that shape the future of technology.
- Qualifications: 5+ years in data centre design, with hands-on experience in Dell and NVIDIA systems.
- Other info: Contract role with potential for exciting global site deployments.
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.
- GPU Pod Deployment & Commissioning: 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).
- Vendor & Stakeholder Collaboration: 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.
- Multi-Site Rollout Support: Support concurrent global site deployments, providing technical guidance to implementation teams and local contractors. Ensure consistency in design standards, deployment methods, and operational handoffs.
- Compliance & Operational Readiness: 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 (United Kingdom) employer: WNTD
Contact Detail:
WNTD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Architect (United Kingdom)
✨Tip Number 1
Familiarise yourself with the latest trends in AI data centre architecture. Understanding the nuances of AI workloads and how they impact infrastructure design will give you an edge during discussions with potential employers.
✨Tip Number 2
Network with professionals in the field, especially those who have experience with Dell and NVIDIA technologies. Attend industry events or webinars to connect with key players and learn about upcoming opportunities.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully deployed AI infrastructure. Be ready to share your hands-on experiences with Dell hardware and NVIDIA DGX systems, as real-world examples can significantly strengthen your candidacy.
✨Tip Number 4
Stay updated on compliance and sustainability standards relevant to data centres in the UK. Demonstrating your knowledge in these areas can set you apart, especially when discussing operational readiness and design standards.
We think you need these skills to ace Solutions Architect (United Kingdom)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data center infrastructure design and deployment, particularly with AI and HPC workloads. Emphasise your hands-on experience with Dell technologies and NVIDIA DGX systems.
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 specific projects where you've successfully deployed AI solutions or worked with high-density compute environments.
Highlight Technical Skills: In your application, clearly outline your technical skills related to AI/ML workload requirements, cooling and power density challenges, and scalable GPU cluster design. This will demonstrate your fit for the role.
Showcase Project Management Experience: If you have experience managing complex, multi-site project deployments, make sure to include this in your application. Highlight any instances where you coordinated with vendors and internal teams to ensure successful project delivery.
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've designed or deployed AI data centres, focusing on the challenges you faced and how you overcame them.
✨Understand the Role's Requirements
Familiarise yourself with the key responsibilities outlined in the job description. Be ready to explain how your background aligns with the needs of the role, particularly in areas like GPU pod deployment and multi-site rollout support.
✨Demonstrate Collaboration Skills
Since this role involves working with various stakeholders, prepare examples that showcase your ability to collaborate effectively. Discuss how you've acted as a liaison between technical teams and vendors in past projects.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think about potential challenges in AI data centre deployment and how you would address them, especially regarding compliance and operational readiness.
