At a Glance
- Tasks: Design and implement innovative cloud and AI solutions in a dynamic investment banking environment.
- Company: Join a high-performing Corporate Technology team at a global investment bank.
- Benefits: Competitive daily rate, hands-on experience, and opportunities for professional growth.
- Other info: Collaborative team culture with excellent career advancement opportunities.
- Why this job: Be at the forefront of cloud engineering and AI in a highly regulated industry.
- Qualifications: Strong Azure expertise, Python skills, and a passion for secure solutions.
We are seeking a hands-on AI Cloud Engineer to join a high-performing Corporate Technology team within a global investment banking environment. This role sits within Digital Engineering Services and is focused on building secure, scalable cloud and AI solutions that support enterprise-wide innovation. You will join a small, dynamic engineering team working across Azure, Oracle Cloud, and AWS, helping to design and deliver next-generation cloud patterns, automation frameworks, and AI-enabled solutions in a highly regulated environment. This is a unique role at the intersection of cloud engineering, software development, and AI enablement. You will design and implement robust cloud and AI solutions, develop reusable automation, and help establish governance controls for responsible AI adoption. The position is ideal for an engineer with deep Azure expertise, strong Python skills, and a passion for building secure and innovative solutions in financial services.
Key Responsibilities
- Design and implement cloud and AI-ready solutions across Azure (primary), Oracle Cloud, and AWS.
- Develop automation, integrations, and bespoke engineering solutions using Python and PowerShell.
- Build and maintain REST APIs and identity-aware service patterns.
- Implement Infrastructure as Code using Bicep, ARM, and Terraform.
- Deliver BAU support and project work for cloud and AI workloads.
- Create and maintain CI/CD pipelines using GitHub Actions or Azure DevOps.
- Implement governance controls and AI guardrails aligned to regulatory and security requirements.
- Collaborate with infrastructure, application, and security teams to improve platform stability, compliance, and cost efficiency.
- Produce architecture and engineering documentation to support repeatable solution patterns.
Essential Skills & Experience
- Strong hands-on Azure engineering experience.
- Excellent Python and PowerShell scripting skills.
- Proven experience with Infrastructure as Code (Bicep, ARM, Terraform).
- Experience developing REST APIs and service integrations.
- Strong understanding of Entra ID, OAuth2, token-based authentication, and identity-driven design.
- Practical experience with Azure OpenAI and OpenAI SDKs.
- Solid knowledge of IAM, cloud security, governance, and compliance.
- Experience with CI/CD pipelines and modern DevOps practices.
- Azure certification (AZ-104 or higher).
- Bachelor’s degree or equivalent commercial experience.
Desirable Skills
- Exposure to Oracle Cloud and/or AWS.
- Experience with Azure API Management or similar API gateways.
- Knowledge of Responsible AI, AI governance, and model lifecycle controls.
- Experience with embeddings, vectorisation, and AI orchestration frameworks.
- Financial services or other highly regulated industry experience.
AI Cloud Engineer – 11616CF in Bristol employer: Proactive.IT Appointments Limited
Join a leading global investment banking environment as an AI Cloud Engineer, where you will be part of a high-performing Corporate Technology team dedicated to innovation and excellence. With a strong focus on employee growth, our collaborative work culture encourages continuous learning and development, while the dynamic nature of the role offers unique opportunities to work with cutting-edge cloud and AI technologies. Enjoy competitive daily rates and the chance to make a meaningful impact in a highly regulated industry, all within a supportive and inclusive workplace.
Contact Detail:
Proactive.IT Appointments Limited Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Cloud Engineer – 11616CF in Bristol
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech and finance 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 Azure, Python, and automation. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to cloud engineering and AI. Practice explaining your thought process clearly and confidently. We want you to shine when it’s your turn to impress!
✨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 are proactive about their job search!
We think you need these skills to ace AI Cloud Engineer – 11616CF in Bristol
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Azure expertise and Python skills. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
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 engineering, and how you can contribute to our dynamic team. Keep it concise but impactful!
Showcase Your Projects:If you've worked on any cool cloud or AI projects, make sure to mention them! We love seeing practical examples of your work, especially if they involve automation or governance controls.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our Corporate Technology team!
How to prepare for a job interview at Proactive.IT Appointments Limited
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure, Python, and Infrastructure as Code. Brush up on your knowledge of Bicep, ARM, and Terraform, as these will likely come up during the interview. Being able to discuss specific projects where you've implemented these technologies will really impress.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled challenges in previous roles, especially in cloud engineering or AI solutions. Think of examples where you’ve developed automation or improved system stability, and be ready to explain your thought process and the impact of your solutions.
✨Understand the Regulatory Landscape
Since this role is in a highly regulated environment, it’s crucial to demonstrate your understanding of governance controls and compliance. Familiarise yourself with relevant regulations and be prepared to discuss how you would implement AI guardrails and security measures in your work.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team dynamics, the company’s approach to innovation, and how they handle cloud security. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
