At a Glance
- Tasks: Design and develop innovative AI solutions on Azure, driving automation and integration.
- Company: Join a leading bank at the forefront of cloud and AI technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on responsible AI and compliance.
- Why this job: Make a real impact by shaping the future of AI in a dynamic environment.
- Qualifications: Proficiency in Python, PowerShell, and experience with Azure and AI technologies.
The predicted salary is between 60000 - 80000 £ per year.
This is a hands-on engineering role at the intersection of cloud platforms (Azure), software development, and AI enablement. You will design, develop, and support bespoke cloud and AI solutions across Azure, applying strong engineering discipline to deliver secure, scalable and sustainable patterns for the bank.
Key Responsibilities
- Design and implement cloud and AI-ready solutions on Azure.
- 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 (Prioritised)
- 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, Entra ID).
- Experience in working with Microsoft AI technology such as Copilot, Power Apps, Azure AI etc.
- Experience developing REST APIs, integrating services, and implementing identity flows (OAuth2, tokens).
- Familiarity 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.
Preferred Experience
- Experience with Azure API Management or similar API gateways.
- Exposure to AI governance, model lifecycle controls, or responsible AI implementation in regulated environments.
- Knowledge of Foundry, vectorisation patterns, or AI orchestration frameworks.
AI Engineer employer: mthree
As an AI Engineer at our bank, you will thrive in a dynamic and innovative work culture that prioritises collaboration and continuous learning. We offer competitive benefits, including professional development opportunities and a commitment to responsible AI practices, all within a supportive environment that values your contributions. Join us in shaping the future of banking technology on Azure, where your expertise will drive impactful solutions in a secure and compliant setting.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 and AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI and cloud solutions. Practice coding challenges and be ready to discuss your past experiences with Python and PowerShell.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you a leg up in the process.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure, AI technologies, and programming skills like Python and PowerShell. We want to see how your background aligns with the key responsibilities of the AI Engineer role.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and cloud solutions. Share specific examples of projects you've worked on that demonstrate your skills in automation, integration, and compliance.
Showcase Your Technical Skills:Don’t forget to mention your hands-on experience with REST APIs and identity solutions. We love seeing real-world applications of your skills, so include any relevant projects or achievements that highlight your expertise.
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 team!
How to prepare for a job interview at mthree
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure, Python, and PowerShell. Brush up on your knowledge of REST APIs and AI technologies like OpenAI SDK. Being able to discuss specific projects where you've implemented these technologies will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to discuss real-world scenarios where you've tackled challenges related to cloud solutions or AI integration. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your engineering discipline.
✨Understand Governance and Compliance
Familiarise yourself with AI governance and compliance requirements, especially in regulated environments like banking. Be ready to explain how you’ve implemented responsible AI practices and security measures in your previous roles.
✨Collaborate and Communicate
Since this role involves working across teams, be prepared to discuss how you’ve collaborated with others in past projects. Highlight your communication skills and how you’ve contributed to enhancing platform stability and cost efficiency.
