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- 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, collaborate with top tech partners, and make a real impact.
- 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 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 more about the challenges and innovations in AI infrastructure, which could be beneficial for your role.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully deployed AI solutions or worked with high-density compute environments. Real-world examples will showcase your hands-on experience and problem-solving skills, making you a standout candidate.
✨Tip Number 4
Research our company culture and values at StudySmarter. Understanding what we stand for and how we operate will help you align your responses during interviews, demonstrating that you're not just a fit for the role but also for our 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 lead GPU pod deployments. Mention your experience with multi-site project management and how you can contribute to the company's goals.
Highlight Key Skills: In your application, emphasise key skills such as collaboration with vendors, compliance knowledge, and operational readiness. Make sure to align these skills with the job requirements outlined in the description.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which is crucial for a Solutions Architect 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've 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, 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 scenario-based questions that assess your problem-solving skills in real-world situations. Think about past experiences 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/ML workloads, including cooling and power density challenges. Be ready to discuss how you would design scalable GPU clusters to meet these demands, showcasing your deep understanding of the field.
