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- Tasks: Design cutting-edge AI infrastructure for advanced workloads and seamless integration.
- Company: Leading tech firm at the forefront of AI innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for skill enhancement.
- Why this job: Shape the future of AI with groundbreaking technology and impactful projects.
- Qualifications: Experience in AI architecture and strong technical skills required.
- Other info: Fast-paced environment with significant career advancement potential.
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.
AI Infrastructure Architect in Edinburgh employer: Confidential
Contact Detail:
Confidential Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Infrastructure Architect in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, attend meetups, and engage on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI infrastructure, especially those involving LLM training and inference. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in AI architecture. Be ready to discuss how you would design a unified AI infrastructure platform and tackle real-world problems. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to navigate!
We think you need these skills to ace AI Infrastructure Architect in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the AI Infrastructure Architect role. Highlight any relevant projects or technologies you've worked with, especially those related to AI workloads and architecture.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI infrastructure and how your background makes you a perfect fit for our team. Don’t forget to mention specific aspects of the job description that excite you.
Showcase Your Technical Skills: In your application, be sure to highlight your experience with CPU/GPU/NPU frameworks and any serverless architectures you've designed. We want to see how you can contribute to our vision of a unified AI platform!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Confidential
✨Know Your AI Infrastructure
Make sure you brush up on the latest trends and technologies in AI infrastructure. Understand how different components like LLM training, inference, and orchestration work together. This knowledge will help you answer technical questions confidently.
✨Showcase Your Design Skills
Be prepared to discuss your experience in designing unified architectures. Bring examples of past projects where you’ve integrated various AI workloads. Highlight your ability to create scalable solutions that can evolve over time.
✨Understand Heterogeneous Execution Frameworks
Familiarise yourself with CPU, GPU, and NPU execution frameworks. Be ready to explain how you would approach designing a heterogeneous framework for agent-based processing. This shows you’re not just knowledgeable but also practical in your approach.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current AI infrastructure challenges and future goals. This demonstrates your genuine interest in the role and helps you assess if the company aligns with your career aspirations.
