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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 innovation and compliance.
- Why this job: Join a growing team and make an impact with AI-driven solutions in a modern cloud setting.
- Qualifications: Experience in Azure, Python, and cloud platforms; strong automation skills 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.
Engineer, R&D Tech employer: Magnit Global
Contact Detail:
Magnit Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineer, R&D Tech
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to cloud and AI solutions. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to Azure, Python, and automation. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Engineer, R&D Tech
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 the key responsibilities listed in the job description.
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 projects you've worked on that relate to the role, and let us know how you can contribute to our team.
Showcase Your Projects: If you've got any relevant projects or contributions to open-source work, make sure to mention them. We love seeing practical applications of your skills, especially in building cloud infrastructure or AI-driven solutions. It gives us a glimpse of what you can bring to the table!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy to do!
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 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 and AI solutions. Think about times when you had to design scalable systems or automate processes, and be ready to explain your thought process.
✨Understand the Business Context
Research the global banking organisation and understand their goals with AI and cloud platforms. This will help you tailor your answers to show how your skills can directly benefit their operations.
✨Ask Insightful Questions
Prepare thoughtful questions about their current projects, team dynamics, and future plans for AI integration. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.