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For Companies At a Glance
- Tasks: Design and deploy AI-optimised data centres globally, ensuring high-performance compute environments.
- Company: Join a leading tech company at the forefront of AI infrastructure and data centre solutions.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for international travel.
- Why this job: Be part of cutting-edge AI projects and collaborate with top industry partners like Dell and NVIDIA.
- Qualifications: 5+ years in data centre design, hands-on with Dell and NVIDIA technologies, and strong project management skills.
- Other info: Contract role with potential for international travel and tight project deadlines.
The predicted salary is between 48000 - 72000 £ per year.
Location: United Kingdom
Reporting to: Program Director / CTO
Overview
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.
Key Requirements
- 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.
Nice to Have
- 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 architecture and deployment. Understanding the nuances of AI workloads and how they interact with hardware like Dell and NVIDIA systems will give you a significant edge during discussions with our team.
✨Tip Number 2
Network with professionals in the AI and data centre sectors. Attend industry events or webinars where you can meet potential colleagues and learn about the challenges they face. This can provide valuable insights that you can bring to your conversations with us.
✨Tip Number 3
Prepare to discuss specific projects you've worked on that relate to AI infrastructure and deployment. Be ready to explain your role, the technologies used, and the outcomes achieved. This will demonstrate your hands-on experience and problem-solving skills.
✨Tip Number 4
Showcase your ability to collaborate with various stakeholders. Highlight any experiences where you acted as a liaison between technical teams and vendors, as this is crucial for the Solutions Architect role at StudySmarter.
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 lead GPU pod deployments. Mention your experience with multi-site rollouts and collaboration with vendors, as these are key aspects of the role.
Highlight Key Achievements: In your application, emphasise any significant projects you've led or contributed to, especially those involving AI/ML workloads or high-density compute environments. Quantify your achievements where possible to make a stronger impact.
Showcase Soft Skills: Don't forget to mention your soft skills, such as communication and teamwork. The role requires collaboration with various stakeholders, so demonstrating your ability to work effectively in a team is crucial.
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 in your interview.
