At a Glance
- Tasks: Design and deliver innovative AI infrastructure solutions in a cutting-edge environment.
- Company: Join Digital Realty's Innovation Lab, a leader in next-gen tech.
- Benefits: Competitive salary, career growth, and a chance to shape the future of technology.
- Other info: Collaborative team focused on sustainability and performance.
- Why this job: Be at the forefront of AI and infrastructure innovation while making a real impact.
- Qualifications: 10+ years in infrastructure architecture with strong AI/ML experience.
The predicted salary is between 80000 - 100000 £ per year.
Digital Realty is seeking a forward-thinking and technically seasoned Sr. Solutions Architect (f/m/d) to join our Digital Realty Innovation Lab (DRIL) team. This role is ideal for a professional with a blend of strategic architectural expertise and hands-on engineering experience across compute, storage, and networking—plus strong domain knowledge in AI infrastructure and data center space, power, and cooling.
Key Responsibilities
- Innovative Architecture & Infrastructure Design: Design and deliver enterprise-grade solutions that integrate hybrid/multi-cloud, AI-ready compute, and intelligent infrastructure platforms. Develop blueprints for high-density, GPU-based workloads and emerging AI/ML infrastructure needs. Ensure alignment of technical solutions with data center space, power, and cooling capacities, incorporating sustainability and energy-efficiency goals.
- Compute, Storage & Networking Implementation: Architect and deploy robust infrastructure using hardware/software from vendors such as Dell, HPE, NVIDIA, Cisco, NetApp, and Juniper. Apply deep knowledge of high-performance computing (HPC) and low-latency networking to AI/ML solution design. Integrate automation tools (Terraform, Ansible, cloud-native orchestration) to streamline deployment and management.
- Data Center Optimization: Collaborate with facilities and operations teams to optimize infrastructure deployments based on available rack space, power draw, thermal dynamics, and airflow efficiency. Contribute to the planning and provisioning of data center resources, ensuring support for both traditional workloads and AI-intensive environments. Evaluate emerging technologies for space, power, and cooling efficiency in next-gen data center deployments.
- Innovation Program Leadership: Lead the technical execution of R&D initiatives within DRIL, from concept through prototype and deployment. Define milestones, scope, risks, and deliverables for innovation programs involving AI and infrastructure modernization. Communicate progress and findings to executive stakeholders and cross-functional teams. Serve as a technical consultant to internal stakeholders and enterprise clients, especially on AI workload infrastructure and resource planning. Create technical whitepapers, solution briefs, and presentations to showcase innovative solutions. Represent Digital Realty in external engagements, including workshops, industry forums, and conferences. Mentor junior engineers and architects, encouraging continuous learning and best-practice adoption. Develop and maintain reference architectures, design standards, and lab documentation to drive consistency and scalability.
Your Profile
- Education: Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field required.
- Experience: 10+ years of hands-on experience in infrastructure architecture, systems engineering, or solution architecture. Proven track record with AI/ML infrastructure design (e.g., NVIDIA GPUs, distributed compute, high-speed storage). Demonstrated understanding of data center operational constraints including power provisioning, rack planning, and cooling technologies.
- Technical Expertise: Deep knowledge of enterprise networking (routing/switching, SDN), storage platforms (SAN/NAS), and compute systems (virtualized, bare metal, HCI). Experience with public cloud platforms (AWS, Azure, GCP) and hybrid cloud strategies. Familiarity with HPC architectures and containerization technologies (e.g., Kubernetes, Docker) for AI workloads.
- Certifications (Preferred): Relevant technical certifications such as AWS Solutions Architect, Cisco CCNP/CCIE, NVIDIA Certified, VMware VCP, or PMP.
- Soft Skills: Strong communication and presentation skills across diverse audiences. Excellent organizational and time-management abilities. Strategic thinker with a hands-on approach to technical problem-solving.
About DRIL
The Digital Realty Innovation Lab (DRIL) is the center of innovation and experimentation within Digital Realty. DRIL brings together infrastructure architects, engineers, and technologists to prototype and implement next-generation solutions across AI, cloud, edge, and hybrid environments. Our team shapes the future of connected infrastructure with a focus on sustainability, performance, and scale.
Senior AI Infrastructure Architect employer: Digital Realty
Digital Realty is an exceptional employer, offering a dynamic work environment in London where innovation thrives. Employees benefit from a culture that prioritises collaboration and continuous learning, with ample opportunities for professional growth in cutting-edge AI infrastructure projects. The company's commitment to sustainability and performance, combined with its focus on employee development, makes it a rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Infrastructure Architect
✨Tip Number 1
Network like a pro! Attend industry meetups, conferences, and workshops to connect with folks in the AI infrastructure space. You never know who might be looking for someone just like you!
✨Tip Number 2
Show off your skills! Create a portfolio or a personal website showcasing your projects, especially those related to AI/ML infrastructure. This gives potential employers a taste of what you can do.
✨Tip Number 3
Don’t shy away from reaching out directly! If you see a role that excites you, drop a message to the hiring manager or team lead on LinkedIn. A personal touch can make all the difference.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Digital Realty.
We think you need these skills to ace Senior AI Infrastructure Architect
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience in AI infrastructure and data centre operations. We want to see how your skills align with the innovative architecture and infrastructure design we’re looking for!
Showcase Your Projects:Include specific examples of projects you've worked on that demonstrate your hands-on engineering experience. We love seeing how you've tackled challenges in compute, storage, and networking, especially in AI/ML environments.
Craft a Compelling Cover Letter:Your cover letter should reflect your passion for innovation and your strategic thinking. Let us know why you’re excited about the role and how you can contribute to our Digital Realty Innovation Lab!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our team.
How to prepare for a job interview at Digital Realty
✨Know Your Tech Inside Out
Make sure you’re well-versed in the specific technologies mentioned in the job description, like NVIDIA GPUs and hybrid cloud strategies. Brush up on your knowledge of enterprise networking and storage platforms, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss past projects where you’ve tackled complex infrastructure challenges. Be ready to explain your thought process and how you approached problem-solving, especially in relation to AI workloads and data centre optimisation.
✨Communicate Clearly and Confidently
Since strong communication skills are essential for this role, practice articulating your ideas clearly. Use examples from your experience to demonstrate your ability to convey technical concepts to diverse audiences, including executive stakeholders.
✨Prepare Questions That Matter
Think of insightful questions to ask about the company’s innovation initiatives and future projects. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals, especially in the AI infrastructure space.
