At a Glance
- Tasks: Design and implement innovative cloud and AI solutions in a dynamic engineering team.
- Company: Join a global investment bank with a focus on cutting-edge technology.
- Benefits: Competitive salary, hands-on experience, and opportunities for professional growth.
- Other info: Collaborative culture with excellent career advancement opportunities.
- Why this job: Be at the forefront of AI and cloud technology in a highly regulated environment.
- Qualifications: Strong Azure expertise, Python skills, and a passion for secure solutions.
The predicted salary is between 60000 - 80000 € per year.
We are seeking a hands-on AI Cloud Engineer to join a high-performing Corporate Technology team within a global investment banking environment. This role sits within Digital Engineering Services and is focused on building secure, scalable cloud and AI solutions that support enterprise-wide innovation.
You will join a small, dynamic engineering team working across Azure, Oracle Cloud, and AWS, helping to design and deliver next-generation cloud patterns, automation frameworks, and AI-enabled solutions in a highly regulated environment. This is a unique role at the intersection of cloud engineering, software development, and AI enablement. You will design and implement robust cloud and AI solutions, develop reusable automation, and help establish governance controls for responsible AI adoption. The position is ideal for an engineer with deep Azure expertise, strong Python skills, and a passion for building secure and innovative solutions in financial services.
Key Responsibilities- Design and implement cloud and AI-ready solutions across Azure (primary), Oracle Cloud, and AWS.
- Develop automation, integrations, and bespoke engineering solutions using Python and PowerShell.
- Build and maintain REST APIs and identity-aware service patterns.
- Implement Infrastructure as Code using Bicep, ARM, and Terraform.
- Deliver BAU support and project work for cloud and AI workloads.
- Create and maintain CI/CD pipelines using GitHub Actions or Azure DevOps.
- Implement governance controls and AI guardrails aligned to regulatory and security requirements.
- Collaborate with infrastructure, application, and security teams to improve platform stability, compliance, and cost efficiency.
- Produce architecture and engineering documentation to support repeatable solution patterns.
- Strong hands-on Azure engineering experience.
- Excellent Python and PowerShell scripting skills.
- Proven experience with Infrastructure as Code (Bicep, ARM, Terraform).
- Experience developing REST APIs and service integrations.
- Strong understanding of Entra ID, OAuth2, token-based authentication, and identity-driven design.
- Practical experience with Azure OpenAI and OpenAI SDKs.
- Solid knowledge of IAM, cloud security, governance, and compliance.
- Experience with CI/CD pipelines and modern DevOps practices.
- Azure certification (AZ-104 or higher).
- Bachelor’s degree or equivalent commercial experience.
- Exposure to Oracle Cloud and/or AWS.
- Experience with Azure API Management or similar API gateways.
- Knowledge of Responsible AI, AI governance, and model lifecycle controls.
- Experience with embeddings, vectorisation, and AI orchestration frameworks.
- Financial services or other highly regulated industry experience.
Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation. We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website.
AI Cloud Engineer in London employer: Proactive Appointments
Join a forward-thinking corporate technology team within a global investment banking environment, where innovation meets excellence. As an AI Cloud Engineer, you'll benefit from a collaborative work culture that prioritises employee growth and development, offering opportunities to work with cutting-edge technologies in a highly regulated setting. With a focus on secure and scalable solutions, this role not only enhances your technical skills but also positions you at the forefront of AI and cloud engineering in financial services.
StudySmarter Expert Advice🤫
We think this is how you could land AI Cloud Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on 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 cloud and AI projects. Whether it's GitHub repos or a personal website, let your work speak for itself and make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to Azure, Python, and Infrastructure as Code. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Apply through our website! We love seeing applications come directly from candidates who are genuinely interested in joining us. Plus, it gives you a better chance of standing out in the crowd.
We think you need these skills to ace AI Cloud Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Azure expertise and Python skills. We want to see how your experience aligns with the role, so don’t 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 you’re passionate about AI and cloud engineering, and how you can contribute to our team. Keep it concise but impactful!
Showcase Your Projects:If you've worked on any cloud or AI projects, make sure to mention them in your application. We love seeing practical examples of your work, especially if they demonstrate your problem-solving skills and creativity.
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’s super easy!
How to prepare for a job interview at Proactive Appointments
✨Know Your Tech Inside Out
Make sure you brush up on your Azure, Python, and PowerShell skills. Be ready to discuss specific projects where you've implemented cloud solutions or automation frameworks. The more detailed examples you can provide, the better!
✨Understand the Regulatory Landscape
Since this role is in a highly regulated environment, it's crucial to demonstrate your understanding of governance controls and compliance. Familiarise yourself with relevant regulations and be prepared to discuss how you've ensured compliance in past projects.
✨Showcase Your Problem-Solving Skills
Be ready to tackle hypothetical scenarios during the interview. Think about how you would approach designing secure and scalable AI solutions. Highlight your thought process and how you collaborate with teams to solve complex problems.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their cloud strategy, team dynamics, or future projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
