At a Glance
- Tasks: Design and develop innovative cloud and AI solutions for a leading financial institution.
- Company: Join a dynamic team within a top international banking group.
- Benefits: Competitive pay, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on automation and engineering excellence.
- Why this job: Be at the forefront of AI transformation in FinTech and make a real impact.
- Qualifications: Azure certification and strong Python skills are essential.
The predicted salary is between 60000 - 80000 € per year.
We're seeking a forward-thinking engineer ready to sit at the absolute intersection of Cloud Infrastructure and Artificial Intelligence within this international banking group. This is a unique opportunity to join a small, dynamic team within a leading financial services institution as they evolve their digital engineering capabilities. You will play a pivotal role in building the secure, scalable foundations that underpin critical banking services, transitioning from traditional cloud functions into a high-impact AI enablement powerhouse.
In this hands-on role, you will design and develop bespoke cloud and AI solutions, primarily focusing on Azure while expanding into Oracle Cloud and AWS. You will be the bridge between platforms and software engineering, applying rigorous discipline to deliver automated, sustainable patterns that meet complex regulatory and security standards.
Your Key Responsibilities
- Design & Deliver: Architect and implement cloud and AI-ready solutions on Azure, building repeatable patterns and integration services that support next-generation workloads.
- Innovate with AI: Develop bespoke components using the OpenAI SDK and GPT models, ensuring all AI adoption is underpinned by robust governance and safety guardrails.
- Engineering Excellence: Drive automation through Infrastructure-as-Code (Bicep, Terraform) and CI/CD pipelines, while maintaining REST APIs and identity-aware solution patterns.
- Collaborative Impact: Work autonomously to manage ambiguity, collaborating across infrastructure and application teams to enhance platform stability and cost efficiency.
Skills & Experience Required
- Azure Expertise: Deep hands-on experience with Azure engineering, PaaS services, and Infrastructure-as-Code (Bicep, ARM, or Terraform).
- Software Engineering: Strong proficiency in Python (essential) and PowerShell for building automation frameworks, REST APIs, and identity flows (OAuth2).
- Identity & Security: Solid understanding of Entra ID, IAM patterns, and implementing security controls within a regulated environment.
- AI Integration: Familiarity with Azure OpenAI, embeddings, and vector workflows, with the ability to operationalise responsible AI controls.
Qualifications: You should hold an Azure certification (AZ-104 or higher) and a Bachelor's degree or equivalent professional experience.
Desirables: Ideally, you will have experience with Azure API Management, AI orchestration frameworks, or knowledge of AI model lifecycle controls.
This is more than just an infrastructure role; it is a chance to influence a global cloud strategy and gain exposure to multi-cloud environments during a major AI transformation. If you thrive in a results-driven environment and want to make a tangible impact on the future of FinTech, we want to hear from you.
AI Cloud Engineer in City of London employer: Deerfoot Recruitment Solutions
Join Deerfoot Recruitment Solutions Ltd, a leading independent tech recruitment consultancy in the UK, where we foster a collaborative and innovative work culture that prioritises employee growth and development. As an AI Cloud Engineer in London, you'll be part of a dynamic team at the forefront of digital engineering within a prestigious international banking group, with opportunities to influence global cloud strategies while enjoying a hybrid work model and contributing to meaningful environmental initiatives. We offer a supportive environment that values your expertise and encourages you to make a tangible impact in the evolving FinTech landscape.
Contact Detail:
Deerfoot Recruitment Solutions Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Cloud Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in AI and cloud roles. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure, Python, or AI integrations. This is your chance to demonstrate your hands-on experience and problem-solving abilities, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to cloud infrastructure and AI. Practice explaining your thought process while solving problems, as this will show potential employers how you tackle challenges in real-time.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets the attention it deserves!
We think you need these skills to ace AI Cloud Engineer in City of London
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 and any relevant projects you've worked on, especially those involving AI integration.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about cloud engineering and AI. Share specific examples of how you've tackled challenges in previous roles, and don’t forget to mention your familiarity with tools like Terraform and Python!
Showcase Your Projects:If you've worked on any cloud or AI projects, make sure to include them in your application. We love seeing real-world applications of your skills, so share links or descriptions of your work that demonstrate your capabilities.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Deerfoot Recruitment Solutions
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure, Python, and Infrastructure-as-Code tools like Bicep and Terraform. Brush up on your knowledge of AI integration and security protocols, as these will be key topics during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Use examples that highlight your ability to innovate with AI and automate processes, as this aligns perfectly with the job's focus.
✨Understand the Company’s Vision
Research the financial services institution and their approach to digital engineering. Be ready to discuss how your skills can contribute to their AI transformation and cloud strategy, showing that you’re not just a fit for the role but also for their mission.
✨Practice Collaborative Scenarios
Since collaboration is key in this role, think of examples where you’ve worked with cross-functional teams. Be prepared to explain how you managed ambiguity and contributed to platform stability and cost efficiency in those situations.
