At a Glance
- Tasks: Design and develop innovative cloud and AI solutions for a leading financial institution.
- Company: Join a dynamic team within a top international banking group.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Great chance to influence global cloud strategy and work in a multi-cloud environment.
- Why this job: Be at the forefront of AI transformation in the FinTech sector.
- Qualifications: Experience with Azure, Python, and a passion for cloud technology.
The predicted salary is between 60000 - 80000 £ per year.
We're seeking a forward-thinking engineer ready to sit at the absolute intersection of Cloud Infrastructure and Artificial Intelligence within this international banking group. This is a unique opportunity to join a small, dynamic team within a leading financial services institution as they evolve their digital engineering capabilities. You will play a pivotal role in building the secure, scalable foundations that underpin critical banking services, transitioning from traditional cloud functions into a high-impact AI enablement powerhouse.
In this hands-on role, you will design and develop bespoke cloud and AI solutions, primarily focusing on Azure while expanding into Oracle Cloud and AWS. You will be the bridge between platforms and software engineering, applying rigorous discipline to deliver automated, sustainable patterns that meet complex regulatory and security standards.
Your Key Responsibilities
- Design & Deliver: Architect and implement cloud and AI-ready solutions on Azure, building repeatable patterns and integration services that support next-generation workloads.
- Innovate with AI: Develop bespoke components using the OpenAI SDK and GPT models, ensuring all AI adoption is underpinned by robust governance and safety guardrails.
- Engineering Excellence: Drive automation through Infrastructure-as-Code (Bicep, Terraform) and CI/CD pipelines, while maintaining REST APIs and identity-aware solution patterns.
- Collaborative Impact: Work autonomously to manage ambiguity, collaborating across infrastructure and application teams to enhance platform stability and cost efficiency.
Skills & Experience Required
- Azure Expertise: Deep hands-on experience with Azure engineering, PaaS services, and Infrastructure-as-Code (Bicep, ARM, or Terraform).
- Software Engineering: Strong proficiency in Python (essential) and PowerShell for building automation frameworks, REST APIs, and identity flows (OAuth2).
- Identity & Security: Solid understanding of Entra ID, IAM patterns, and implementing security controls within a regulated environment.
- AI Integration: Familiarity with Azure OpenAI, embeddings, and vector workflows, with the ability to operationalise responsible AI controls.
Qualifications: You should hold an Azure certification (AZ-104 or higher) and a Bachelor's degree or equivalent professional experience.
Desirables: Ideally, you will have experience with Azure API Management, AI orchestration frameworks, or knowledge of AI model lifecycle controls.
This is more than just an infrastructure role; it is a chance to influence a global cloud strategy and gain exposure to multi-cloud environments during a major AI transformation. If you thrive in a results-driven environment and want to make a tangible impact on the future of FinTech, we want to hear from you.
AI Cloud Solutions Engineer employer: Broughton Group
Join a leading international banking group in London as an AI Cloud Solutions Engineer, where you will be part of a dynamic team driving innovation at the intersection of Cloud Infrastructure and Artificial Intelligence. With a hybrid work model and a strong focus on employee growth, you will have the opportunity to develop bespoke cloud solutions while enjoying a collaborative work culture that values creativity and excellence. This role not only offers competitive benefits but also positions you at the forefront of a major AI transformation in the financial services sector, making it an exciting place for those looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land AI Cloud Solutions Engineer
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like Broughton Group. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace AI Cloud Solutions Engineer
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to Broughton Group.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on Broughton Group's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at Broughton Group
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with Broughton Group.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at Broughton Group will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former Broughton Group employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.