At a Glance
- Tasks: Design and implement innovative cloud and AI solutions using Azure, Oracle Cloud, and AWS.
- Company: Join a high-performing Corporate Technology team in global investment banking.
- Benefits: Competitive salary, hands-on experience, and opportunities for professional growth.
- Other info: Work in a collaborative team focused on enterprise-wide innovation.
- Why this job: Be at the forefront of cloud engineering and AI in a dynamic financial services environment.
- Qualifications: Deep Azure expertise, strong 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.
AI Cloud Engineer employer: Proactive Appointments
As an AI Cloud Engineer within our Corporate Technology team, you will thrive in a collaborative and innovative environment that champions professional growth and development. Our commitment to employee well-being is reflected in our flexible working arrangements and a culture that values diversity and inclusion, making it an excellent place for those looking to make a meaningful impact in the financial services sector. Join us in a dynamic setting where your expertise in cloud and AI solutions will be instrumental in driving enterprise-wide innovation.
StudySmarter Expert Advice🤫
We think this is how you could land AI Cloud Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at tech meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that AI Cloud Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your cloud and AI projects. We recommend including any automation frameworks or REST APIs you've built. This gives potential employers a taste of what you can do!
✨Tip Number 3
Prepare for those interviews! Brush up on your Azure, Python, and PowerShell knowledge. We suggest doing mock interviews with friends or using online platforms to get comfortable with common questions.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented engineers like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AI Cloud Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure, Python, and cloud solutions. We want to see how your skills align 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 engaging and personal – we love to see your personality!
Showcase Your Problem-Solving Skills:In your application, highlight specific examples where you've tackled challenges in cloud engineering or AI. We’re looking for innovative thinkers who can design robust solutions, so let us know how you’ve done this in the past!
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 – just follow the prompts!
How to prepare for a job interview at Proactive Appointments
✨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 solutions using these platforms. Highlight your hands-on experience and any challenges you overcame.
✨Showcase Your Python Skills
Prepare to demonstrate your Python expertise. Think of examples where you've used Python for automation or building integrations. You might even want to write some code during the interview, so practice common tasks beforehand!
✨Understand AI Governance
Since this role involves responsible AI adoption, be prepared to discuss governance controls and ethical considerations in AI. Familiarise yourself with best practices and be ready to share your thoughts on how to implement them in a financial services context.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team dynamics, the company's approach to innovation, and how they handle cloud security. This shows your genuine interest and helps you assess if it's the right fit for you.
