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- Tasks: Design and implement innovative AI solutions on cloud platforms like Azure and AWS.
- Company: Join a leading global banking organisation in Central London.
- Benefits: Competitive pay up to £750 per day, with opportunities for growth.
- Other info: Dynamic team environment with a focus on automation and modern engineering practices.
- Why this job: Be at the forefront of AI technology and make a real impact in banking.
- Qualifications: Proficient in Python, PowerShell, and cloud platforms; experience with 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
- 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.
AI Platform Engineer employer: Magnit Global
Contact Detail:
Magnit Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Platform Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the banking and tech sectors. Attend meetups or webinars related to AI and cloud engineering. 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 Python, PowerShell, and cloud 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 common technical questions related to AI and cloud platforms. Practice explaining your past projects and how they relate to the role of an AI Platform Engineer.
✨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 AI Platform Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Platform Engineer role. Highlight your experience with cloud platforms like Azure and AWS, and showcase your skills in Python and PowerShell. We want to see how your background aligns with what we're looking for!
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 demonstrate your ability to design and implement innovative solutions. We love a good story!
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. Whether it's building REST APIs or automating workflows, we want to see what you've done. This helps us understand your hands-on experience and problem-solving skills.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It streamlines the process for us and ensures your application lands in the right hands. Plus, it shows you're serious about joining our team!
How to prepare for a job interview at Magnit Global
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, PowerShell, and cloud platforms like Azure and AWS. Brush up on your experience with REST APIs and AI services, as you’ll likely be asked to discuss specific projects where you’ve applied these skills.
✨Showcase Your Problem-Solving Skills
Prepare to discuss real-world scenarios where you’ve tackled challenges related to cloud infrastructure or AI integration. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how you approached problems and what solutions you implemented.
✨Understand the Business Context
Research the global banking organisation and understand their business model and how AI can enhance their operations. Be ready to discuss how your role as an AI Platform Engineer can contribute to their goals, particularly in terms of 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 innovation in AI and cloud solutions. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.