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- Tasks: Design and implement innovative AI and cloud solutions in a dynamic banking environment.
- Company: Global banking organisation with a focus on cutting-edge technology.
- Benefits: Competitive daily rate, hands-on experience, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on automation and modern engineering practices.
- Why this job: Join a growing team and make an impact with AI-driven solutions in the cloud.
- Qualifications: Experience in Azure, Python, and cloud engineering required.
The predicted salary is between 54000 - 78000 £ per year.
A global banking organisation is looking for a Senior AI Platform Engineer to join a growing engineering team building secure, scalable cloud and AI solutions in a modern multi-cloud environment. This is a hands-on role for someone who enjoys working at the intersection of cloud platforms, software engineering, and AI enablement. You’ll help design and deliver cloud infrastructure, automation frameworks, and integration services that support innovative AI-driven solutions.
Key Responsibilities:
- Design and implement cloud and AI‑ready solutions on Azure (primary), Oracle Cloud, and AWS (as onboarded).
- Develop bespoke automation, integration, and AI‑driven components to support business requirements.
- Build and maintain REST APIs, integration services, and identity-aware solution patterns.
- Deliver operational (BAU) and project support for cloud and AI workloads.
- Collaborate across teams to enhance platform stability, security, compliance, and cost efficiency.
- Drive automation, Infrastructure‑as‑Code, CI/CD, and modern engineering practices.
- Implement governance controls and guardrails for responsible, regulatory-compliant AI use.
- Produce architectural designs and engineering documentation to support scalable, repeatable solution patterns.
Key Skills/Experience:
- Deep hands‑on Azure engineering experience, including Infrastructure‑as‑Code (Bicep/ARM/Terraform).
- Strong proficiency in Python and PowerShell for automation, integration, and AI workflows.
- Real‑world experience implementing and supporting cloud platforms and identity solutions (Azure, Oracle, EntraID).
- Experience developing REST APIs, integrating services, and implementing identity flows (OAuth2, tokens).
- Experience with Azure OpenAI, OpenAI SDK/models, and applying AI services to real-world use cases.
- Strong knowledge of IAM, security patterns, governance, and compliance requirements.
Engineering Support employer: Magnit Global
Contact Detail:
Magnit Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Support
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. 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 projects, especially those involving Azure, Python, and AI solutions. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to cloud platforms and AI, and be ready to discuss your past experiences in detail.
✨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 get noticed by our hiring team.
We think you need these skills to ace Engineering Support
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of AI Platform Engineer. Highlight your hands-on experience with Azure, Python, and automation frameworks. We want to see how your skills align with our needs!
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 platforms. Share specific examples of your past work that relate to the responsibilities listed in the job description.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work with REST APIs, automation, or any AI-driven solutions. We love seeing real-world applications of your skills!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Magnit Global
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure, Python, and PowerShell. Brush up on your Infrastructure-as-Code skills, especially with Bicep, ARM, and Terraform. Be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in cloud engineering or AI integration. Think about times when you had to design a solution under pressure or automate a complex process. Real-world scenarios will impress the interviewers.
✨Understand the Business Context
Familiarise yourself with the banking sector and how AI can drive innovation in this space. Be prepared to discuss how your technical skills can support business objectives, enhance security, and ensure compliance within a financial environment.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current projects, team dynamics, or how they approach governance in AI. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.