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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 48000 - 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 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. 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
Showcase your hands-on experience with relevant technologies. If you've worked with Dell PowerEdge or NVIDIA DGX systems, be prepared to discuss specific projects where you successfully deployed these solutions.
✨Tip Number 4
Prepare for technical interviews by brushing up on your knowledge of compliance standards and operational readiness. Being able to articulate how you ensure deployments meet local regulations will demonstrate your expertise.
We think you need these skills to ace Solutions Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 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 Relevant Skills: In your application, clearly outline your skills related to GPU pod deployment, compliance standards, and operational readiness. Use keywords from the job description to ensure your application stands out.
Showcase Your Project Experience: Include detailed examples of past projects where you managed complex, multi-site deployments. Highlight your role as a technical liaison and how you ensured alignment with technical roadmaps and delivery schedules.
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, 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 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 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.