At a Glance
- Tasks: Lead the development of a scalable AI platform and define technical strategies.
- Company: A top UK fintech partner with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for career advancement.
- Why this job: Join a cutting-edge team and shape the future of AI infrastructure.
- Qualifications: Strong platform engineering background and AWS expertise required.
- Other info: Perfect for engineers eager to fast-track their careers in AI.
The predicted salary is between 48000 - 72000 Β£ per year.
A leading UK fintech partner seeks an AI Platform Lead to drive the development of a scalable, secure AI platform infrastructure. The role involves defining technical strategies, building AWS-based systems, and standardizing AI development processes.
Candidates should have:
- Strong platform engineering backgrounds
- AWS experience
- Proficiency in Infrastructure as Code tools like Terraform and CloudFormation
This position is not focused on machine learning engineering but rather on creating the platform layer for AI applications, making it ideal for engineers wishing to expedite their careers in the AI domain.
AI Platform Lead - AWS & GenAI Infra (Hybrid London) employer: Burns Sheehan
Contact Detail:
Burns Sheehan Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land AI Platform Lead - AWS & GenAI Infra (Hybrid London)
β¨Tip Number 1
Network like a pro! Reach out to folks in the fintech and AI space on LinkedIn. A friendly chat can open doors that a CV just can't.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your AWS projects and Infrastructure as Code work. This is your chance to shine beyond the written application.
β¨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge around AWS and Terraform. We want you to feel confident when discussing how you can build scalable AI platforms.
β¨Tip Number 4
Apply through our website! Itβs the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace AI Platform Lead - AWS & GenAI Infra (Hybrid London)
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your platform engineering experience and AWS skills. We want to see how your background aligns with the role, so donβt be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why youβre excited about the AI Platform Lead position and how your expertise in Infrastructure as Code tools like Terraform and CloudFormation can benefit us.
Showcase Your Technical Strategies: In your application, mention any technical strategies you've defined or implemented in previous roles. Weβre looking for someone who can drive development, so let us know how youβve done this before!
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures youβre considered for the role. Plus, itβs super easy!
How to prepare for a job interview at Burns Sheehan
β¨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge before the interview. Be ready to discuss your experience with AWS-based systems and how you've used Infrastructure as Code tools like Terraform and CloudFormation in past projects.
β¨Showcase Your Platform Engineering Skills
Prepare to highlight your platform engineering background. Think of specific examples where you've built scalable and secure infrastructures, and be ready to explain the technical strategies you employed to achieve success.
β¨Understand AI Development Processes
Even though the role isn't focused on machine learning engineering, it's crucial to understand the AI development processes. Familiarise yourself with how AI applications are built on a platform level and be prepared to discuss how you can standardise these processes.
β¨Ask Insightful Questions
Interviews are a two-way street! Prepare some thoughtful questions about the company's vision for their AI platform and how they see the role evolving. This shows your genuine interest and helps you assess if it's the right fit for you.