At a Glance
- Tasks: Design and implement innovative cloud and AI solutions in a dynamic investment banking environment.
- Company: Join a high-performing Corporate Technology team at a global investment bank.
- Benefits: Competitive daily rate, hands-on experience, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on innovation and compliance.
- Why this job: Be at the forefront of cloud engineering and AI in a regulated financial services sector.
- Qualifications: Deep Azure expertise, strong Python skills, and a passion for secure solutions.
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.
AI Cloud Engineer – 11616CF employer: Proactive.IT Appointments Limited
As an AI Cloud Engineer within our dynamic Corporate Technology team, you will thrive in a collaborative and innovative environment that prioritises employee growth and development. Our commitment to fostering a culture of excellence is reflected in our investment in cutting-edge technology and training, ensuring you have the tools and support needed to excel in your role. Located in a global investment banking hub, we offer competitive remuneration and the unique opportunity to work on transformative projects that shape the future of financial services.
Contact Detail:
Proactive.IT Appointments Limited Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Cloud Engineer – 11616CF
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in cloud engineering or AI. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to Azure, Python, and AI solutions. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios specific to cloud engineering. Practice explaining your thought process clearly, as communication is key in a collaborative environment.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your experience with Azure and AI, and let us know why you're excited about this role.
We think you need these skills to ace AI Cloud Engineer – 11616CF
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the AI Cloud Engineer role. Highlight your Azure expertise, Python skills, and any relevant projects you've worked on in cloud engineering or AI solutions.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about this role and how your background makes you a great fit. Be specific about your experience with cloud technologies and automation frameworks, and don’t forget to show your enthusiasm for working in a dynamic team!
Showcase Your Projects:If you've worked on any relevant projects, whether personal or professional, make sure to mention them. We love seeing practical examples of your work, especially if they involve building secure and scalable cloud solutions or implementing Infrastructure as Code.
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 gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Proactive.IT Appointments Limited
✨Know Your Tech Inside Out
Make sure you brush up on your Azure, Oracle Cloud, and AWS knowledge. Be ready to discuss specific projects where you've implemented cloud solutions or automation frameworks. The more you can showcase your hands-on experience, the better!
✨Show Off Your Python Skills
Since strong Python skills are essential for this role, prepare to talk about your coding experience. Bring examples of scripts or applications you've developed, especially those that relate to automation or AI solutions. Don't hesitate to demonstrate your problem-solving approach!
✨Understand Governance and Compliance
This position requires a solid understanding of governance controls and regulatory requirements. Familiarise yourself with best practices in responsible AI adoption and be prepared to discuss how you've implemented these in past roles. This will show you're not just technically savvy but also aware of the bigger picture.
✨Prepare for Team Collaboration Questions
As you'll be working closely with various teams, think about your past experiences collaborating with infrastructure, application, and security teams. Prepare examples that highlight your communication skills and how you’ve contributed to improving platform stability and compliance.
