At a Glance
- Tasks: Design and implement innovative cloud and AI solutions for banking services.
- Company: Join a leading investment bank focused on next-gen technology.
- Benefits: Competitive salary, remote work options, and career growth opportunities.
- Other info: Collaborative team culture with exposure to cutting-edge technologies.
- Why this job: Be at the forefront of AI adoption in a dynamic banking environment.
- Qualifications: Experience in cloud engineering, software development, and automation.
The predicted salary is between 60000 - 80000 £ per year.
We’re partnering with an Investment Bank to hire a Cloud & AI Engineer to join a growing engineering function focused on next-generation cloud platforms, automation, and AI enablement within a highly regulated banking environment. As AI adoption accelerates across the business, this team is evolving beyond traditional cloud infrastructure into a modern engineering capability responsible for building scalable, secure and sustainable AI-driven solutions across their multi-cloud environment. This is a hands‑on engineering role sitting at the intersection of cloud, software development and AI innovation.
The Opportunity
- You’ll join a collaborative engineering team responsible for designing and delivering cloud-native and AI-ready solutions that underpin critical banking services.
- The role offers exposure to modern cloud architecture, automation frameworks, generative AI tooling and enterprise-scale engineering challenges.
- You will:
- Design and implement cloud and AI solutions predominantly across Azure, with exposure to AWS/GCP.
- Develop bespoke automation frameworks, integration, and AI‑driven components to support business requirements.
- Develop REST APIs and identity‑aware services.
- Drive Infrastructure-as-Code, CI/CD and platform engineering best practices.
- Support AI governance, security controls and responsible AI initiatives.
- Collaborate with infrastructure, security and application teams on scalable cloud solutions.
- Contribute to architecture standards, reusable patterns and operational excellence.
Key Skills & Experience
- We’re looking for engineers with strong cloud engineering fundamentals combined with software development and automation expertise.
- Experience of Python/ PowerShell scripting skills.
- Familiarity with Azure OpenAI, OpenAI SDK/models, and applying AI services to real‑world use cases.
- OpenAI SDK, GPT models, embeddings and vector workflows.
- Experience developing REST APIs and integrations.
- Knowledge of identity and authentication technologies including OAuth2 and Entra ID.
- Understanding of cloud security, IAM, governance and compliance.
- Exposure to Azure OpenAI / Generative AI tooling.
- AI governance / Responsible AI exposure.
- Experience within financial services or regulated environments.
Why Join
- Opportunity to work on enterprise AI adoption within global banking.
- Exposure to a multi-cloud environment.
- High-impact engineering role with strategic visibility.
- Collaborative and forward-thinking technical environment.
- Strong focus on innovation, automation and modern engineering practices.
Azure Cloud & AI Engineer for Banking Innovation employer: Sterlings
Join a leading investment bank as an Azure Cloud & AI Engineer, where you'll be part of a dynamic engineering team driving innovation in cloud and AI solutions. With a strong emphasis on collaboration and forward-thinking practices, this role offers exceptional opportunities for professional growth in a highly regulated environment, while working on cutting-edge technologies that shape the future of banking. Enjoy a culture that prioritises automation, security, and responsible AI initiatives, making it an ideal place for engineers eager to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Cloud & AI Engineer for Banking Innovation
✨Tip Number 1
Network like a pro! Reach out to folks in the banking and cloud engineering space on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your cloud and AI projects. Whether it’s a GitHub repo or a personal website, make sure potential employers can see what you can do. This is your chance to shine and demonstrate your hands-on experience!
✨Tip Number 3
Prepare for those technical interviews! Brush up on your Python and PowerShell scripting skills, and be ready to discuss your experience with Azure and AI services. Practise coding challenges and be prepared to explain your thought process during problem-solving.
✨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 an edge. Plus, it shows you’re genuinely interested in joining our team at StudySmarter!
We think you need these skills to ace Azure Cloud & AI Engineer for Banking Innovation
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your cloud engineering skills and experience with AI. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your skills can contribute to our mission in banking innovation. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills:In your application, make sure to mention specific technologies and tools you’ve used, especially around Azure, Python, and AI services. We’re looking for hands-on experience, so give us the details that demonstrate your expertise.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the info you need about the role and our team there!
How to prepare for a job interview at Sterlings
✨Know Your Cloud Basics
Make sure you brush up on your cloud engineering fundamentals, especially around Azure. Understand the key concepts of Infrastructure-as-Code, CI/CD, and how they apply to banking environments. This will show that you're not just familiar with the tech but can also apply it in a regulated setting.
✨Showcase Your AI Knowledge
Familiarise yourself with Azure OpenAI and the OpenAI SDK. Be ready to discuss real-world use cases where you've applied AI services. This is crucial as the role focuses heavily on AI-driven solutions, and demonstrating your understanding will set you apart.
✨Prepare for Technical Questions
Expect technical questions around Python/PowerShell scripting and REST APIs. Have examples ready from your past experiences where you've developed integrations or automation frameworks. This will help illustrate your hands-on experience and problem-solving skills.
✨Understand Compliance and Security
Since this role is within a highly regulated banking environment, be prepared to discuss cloud security, IAM, and governance. Show that you understand the importance of these aspects in developing scalable and secure solutions, which is vital for the role.
