At a Glance
- Tasks: Design and implement cutting-edge AI and cloud solutions in a dynamic banking environment.
- Company: Join a global banking organisation at the forefront of technology.
- Benefits: Competitive pay, flexible work arrangements, and opportunities for professional growth.
- Other info: Collaborative team culture with a focus on automation and modern engineering practices.
- Why this job: Be part of innovative projects that shape the future of banking with AI.
- Qualifications: Experience in Azure, Python, and cloud platforms is essential.
The predicted salary is between 60000 - 75000 € per year.
A global banking organisation is looking for a Senior AI Platform Engineer to join a growing engineering team building secure, scalable cloud and AI solutions in a modern multi-cloud environment. This is a hands-on role for someone who enjoys working at the intersection of cloud platforms, software engineering, and AI enablement. You will help design and deliver cloud infrastructure, automation frameworks, and integration services that support innovative AI-driven solutions.
Key Responsibilities:
- Design and implement cloud and AI‐ready solutions on Azure (primary), Oracle Cloud, and AWS (as onboarded).
- Develop bespoke automation, integration, and AI‐driven components to support business requirements.
- Build and maintain REST APIs, integration services, and identity-aware solution patterns.
- Deliver operational (BAU) and project support for cloud and AI workloads.
- Collaborate across teams to enhance platform stability, security, compliance, and cost efficiency.
- Drive automation, Infrastructure‐as‐Code, CI/CD, and modern engineering practices.
- Implement governance controls and guardrails for responsible, regulatory-compliant AI use.
- Produce architectural designs and engineering documentation to support scalable, repeatable solution patterns.
Key Skills/Experience:
- Deep hands‐on Azure engineering experience, including Infrastructure‐as‐Code (Bicep/ARM/Terraform).
- Strong proficiency in Python and PowerShell for automation, integration, and AI workflows.
- Real-world experience implementing and supporting cloud platforms and identity solutions (Azure, Oracle, EntraID).
- Experience developing REST APIs, integrating services, and implementing identity flows (OAuth2, tokens).
- Experience with Azure OpenAI, OpenAI SDK/models, and applying AI services to real-world use cases.
- Strong knowledge of IAM, security patterns, governance, and compliance requirements.
AI Platform Engineer in London employer: LinkedIn
Join a leading global banking organisation in Central London, where innovation meets opportunity. As an AI Platform Engineer, you'll thrive in a dynamic work culture that prioritises collaboration and continuous learning, offering competitive pay and the chance to work on cutting-edge AI and cloud solutions. With a strong focus on employee growth and a commitment to responsible AI practices, this role provides a unique platform for you to make a meaningful impact in the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land AI Platform Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. 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 or GitHub repository showcasing your projects, especially those involving Azure, Python, and AI. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to cloud platforms and AI. Practice coding challenges and be ready to discuss your past experiences in detail.
✨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 a leg up in the process.
We think you need these skills to ace AI Platform Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your hands-on experience with Azure, Python, and automation frameworks to show us you're the right fit for the role.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and cloud platforms. Share specific examples of projects you've worked on that align with our needs, especially around automation and integration services.
Showcase Your Technical Skills:Don’t shy away from detailing your technical expertise! Mention your experience with Infrastructure-as-Code, REST APIs, and any relevant AI services. We want to see how you can contribute to our innovative solutions.
Apply Through Our Website:For the best chance of getting noticed, make sure to apply through our website. It helps us keep track of applications and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at LinkedIn
✨Know Your Cloud Platforms
Make sure you brush up on your knowledge of Azure, Oracle Cloud, and AWS. Be ready to discuss specific projects where you've implemented cloud solutions, especially focusing on Infrastructure-as-Code using Bicep, ARM, or Terraform.
✨Showcase Your Automation Skills
Prepare examples of how you've used Python and PowerShell for automation and integration. Highlight any bespoke automation frameworks you've developed and be ready to explain the impact they had on project efficiency.
✨Understand AI Integration
Familiarise yourself with Azure OpenAI and the OpenAI SDK/models. Be prepared to discuss real-world use cases where you've applied AI services, and how you ensured compliance and governance in those scenarios.
✨Collaboration is Key
Since this role involves working across teams, think of examples that demonstrate your ability to collaborate effectively. Discuss how you've contributed to enhancing platform stability, security, and cost efficiency in previous roles.
