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- Tasks: Design cutting-edge AI infrastructure for advanced workloads and seamless integration.
- Company: Join a forward-thinking tech company leading the AI revolution.
- Benefits: Enjoy a competitive salary, flexible working options, and growth opportunities.
- Why this job: Be at the forefront of AI technology and shape the future of intelligent systems.
- Qualifications: Experience in AI architecture and strong technical skills in diverse computing environments.
- Other info: Dynamic role with potential for significant career advancement.
The predicted salary is between 43200 - 72000 £ per year.
Responsibilities:
- Design a unified AI Infra & Serving architecture platform for composite AI workloads such as LLM Training & Inference, RLHF, Agent, and Multimodal processing.
- This platform will integrate inference, orchestration, and state management, defining the technical evolution path for Serverless AI + Agentic Serving.
- Design a heterogeneous execution framework across CPU/GPU/NPU for agent management.
Infrastructure Architect - Hybrid in Edinburgh employer: Microtech Global Ltd
Contact Detail:
Microtech Global Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Infrastructure Architect - Hybrid in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to AI infrastructure. This gives us a chance to see your work in action and how you tackle complex problems.
✨Tip Number 3
Prepare for those interviews! Research common questions for Infrastructure Architect roles and practice your responses. We want to hear how you’d design a unified AI Infra platform and tackle real-world challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Infrastructure Architect - Hybrid in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Infrastructure Architect role. We want to see how your background fits into our vision for AI infrastructure, so don’t hold back on showcasing your expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how you can contribute to our mission at StudySmarter. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them in your application. We’re interested in seeing how you’ve tackled challenges in AI infrastructure before, so share those experiences that demonstrate your problem-solving skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Microtech Global Ltd
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest AI infrastructure technologies, especially those related to LLM training and inference. Brush up on your knowledge of CPU, GPU, and NPU frameworks, as well as serverless architectures. Being able to discuss these topics confidently will show that you’re the right fit for the role.
✨Showcase Your Design Skills
Prepare to discuss your previous experiences designing architecture platforms. Bring examples of how you've integrated orchestration and state management in past projects. This will help demonstrate your ability to create a unified AI infrastructure that meets complex requirements.
✨Think About Scalability
Be ready to talk about how you would approach scalability in your designs. Companies want to know how you plan to handle increasing workloads and ensure performance remains optimal. Share any strategies or frameworks you’ve used in the past to tackle this challenge.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s current AI infrastructure and future plans. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals. Plus, it gives you a chance to engage in a meaningful conversation with your interviewers.
