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- Tasks: Design and implement innovative AI and cloud solutions in a dynamic banking environment.
- Company: Global banking organisation at the forefront of technology and innovation.
- 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 cutting-edge team and shape the future of AI in banking.
- Qualifications: Proficiency in Azure, Python, and experience with cloud platforms and AI services.
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.
Technology & Innovation Engineer employer: Magnit Global
Contact Detail:
Magnit Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technology & Innovation Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Azure, Python, and AI. We want to see what you can do, so make it easy for us to find your best work!
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to cloud platforms and AI solutions. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Technology & Innovation Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Technology & Innovation Engineer. Highlight your experience with Azure, Python, and automation frameworks, as these are key for us. 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 solutions. Share specific examples of your past work that relate to the responsibilities listed in the job description. We love a good story!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's building REST APIs or implementing Infrastructure-as-Code, we want to see what you've done. Include links or documentation if possible, so we can check them out!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved!
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 examples of how you've tackled challenges in cloud and AI environments. Think about times when you had to design scalable solutions or automate processes. This will demonstrate your hands-on experience and innovative thinking.
✨Understand the Business Context
Research the global banking organisation and understand their goals with AI and cloud platforms. Be prepared to discuss how your skills can help them achieve their objectives, particularly around security, compliance, and cost efficiency.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current projects, team dynamics, and how they approach governance and compliance in AI. This not only shows your enthusiasm but also helps you gauge if it’s the right fit for you.