At a Glance
- Tasks: Design and develop innovative cloud and AI solutions using cutting-edge technologies.
- Company: Join MUFG, a leading global financial group committed to innovation and collaboration.
- Benefits: Flexible working options, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in the evolving world of AI and cloud technology.
- Qualifications: Experience in Azure, Python, and cloud engineering required.
- Other info: Dynamic team environment with a focus on diversity and inclusion.
The predicted salary is between 54000 - 84000 ÂŁ per year.
Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. Across the globe, we’re 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.
With a vision to be the world’s most trusted financial group, it’s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career. Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.
The Cloud Team is part of Digital Engineering Services within the Corporate Technology division at MUFG Securities. As AI adoption accelerates across our business lines, we are evolving from a traditional cloud infrastructure function into a diverse engineering capability focused on enabling scalable, sustainable AI solutions.
To effectively scale AI adoption and enhance our functional offerings across a dynamic and evolving environment, we are expanding the team with engineers who combine strong cloud expertise with robust software engineering skills. These engineers will help define and deliver next‑generation cloud patterns, automation frameworks, and AI‑driven solutions that meet MUFG’s governance, security, and regulatory needs.
You will join a small, dynamic team of engineers working across Azure, Oracle Cloud, and AWS (as it is onboarded), building secure, repeatable cloud and AI foundations that underpin our critical banking services.
MAIN PURPOSE OF THE ROLEThis is a hands‑on engineering role at the intersection of cloud platforms, software development, and AI enablement. You will design, develop, and support bespoke cloud and AI solutions across Azure, Oracle Cloud, and later AWS, applying strong engineering discipline to deliver secure, scalable and sustainable patterns for MUFG.
You will be expected to work autonomously, manage ambiguity, and adapt rapidly to evolving business needs while collaborating with application and infrastructure teams to deliver secure, compliant AI and cloud 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.
- 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, Entra ID).
- 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.
- 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.
- Azure (general engineering + PaaS services)
- Entra ID (identity architecture, authentication flows)
- Azure OpenAI (deployment, integration, governance)
- OpenAI SDK, GPT models, embeddings and vector workflows
- Prompt engineering with governance and safety controls
- Python (essential)
- PowerShell
- Designing AI guardrails for regulated environments
- Security and compliance awareness in financial services
- Ability to operationalise Responsible AI controls
- REST API development and integration
- API Management / API Gateway patterns
- OAuth2, client credential flows, identity-driven service design
- CI/CD pipelines (GitHub Actions, Azure DevOps, etc.)
- IaC (Bicep, ARM, Terraform)
- Reusable automation frameworks
- VS Code
- GitHub Enterprise (Repos, Actions, Packages)
- Artifactory or similar
- Azure certifications (AZ-104 or higher)
- Bachelor’s degree or equivalent experience
- Excellent communication skills
- Results driven, with a strong sense of accountability
- A proactive, motivated approach.
- The ability to operate with urgency and prioritise work accordingly
- Strong decision-making skills, the ability to demonstrate sound judgement
- A structured and logical approach to work
- Strong problem-solving skills
- A creative and innovative approach to work
- Excellent interpersonal skills
- The ability to manage large workloads and tight deadlines
- Excellent attention to detail and accuracy
- A calm approach, with the ability to perform well in a pressurised environment
- Strong numerical skills
- A confident approach, with the ability to present to both management and technical audiences
We are open to considering flexible working requests in line with organisational requirements. MUFG is committed to embracing diversity and building an inclusive culture where all employees are valued, respected and their opinions count. We support the principles of equality, diversity and inclusion in recruitment and employment, and oppose all forms of discrimination on the grounds of age, sex, gender, sexual orientation, disability, pregnancy and maternity, race, gender reassignment, religion or belief and marriage or civil partnership. We make our recruitment decisions in a non-discriminatory manner in accordance with our commitment to identifying the right skills for the right role and our obligations under the law.
Vice President, Cloud Engineer - AI Engineer employer: MUFG Bank, Ltd
Contact Detail:
MUFG Bank, Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Vice President, Cloud Engineer - AI Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at MUFG on LinkedIn or through mutual connections. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your cloud and AI knowledge. Be ready to discuss how your skills align with MUFG's goals, especially around Azure and automation. Show them you’re the perfect fit!
✨Tip Number 3
Don’t just wait for job openings—create your own opportunities! Consider reaching out directly to the hiring team with a tailored message about how you can contribute to their cloud and AI initiatives.
✨Tip Number 4
Apply through our website for a smoother process. It shows you're serious about joining MUFG and helps us keep track of your application better. Plus, it’s super easy!
We think you need these skills to ace Vice President, Cloud Engineer - AI Engineer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with cloud platforms and AI solutions. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Showcase Your Technical Skills: When applying, emphasise your hands-on experience with Azure, Python, and automation tools. We’re looking for engineers who can hit the ground running, so let us know about your technical prowess in a clear and concise manner.
Be Clear and Concise: Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate clarity and brevity!
Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at MUFG Bank, Ltd
✨Know Your Cloud Platforms Inside Out
Make sure you brush up on your Azure, Oracle Cloud, and AWS knowledge. Be ready to discuss specific projects where you've implemented Infrastructure-as-Code or developed REST APIs. This will show that you not only understand the theory but have practical experience too.
✨Showcase Your AI Expertise
Prepare to talk about your experience with AI services, especially Azure OpenAI. Think of real-world use cases where you've applied AI solutions and be ready to explain how you ensured compliance and governance in those scenarios.
✨Demonstrate Problem-Solving Skills
Expect questions that assess your problem-solving abilities. Have examples ready where you've tackled complex issues in cloud engineering or AI integration. Highlight your structured approach and how you prioritised tasks under pressure.
✨Communicate Effectively
Since this role involves collaboration across teams, practice articulating your thoughts clearly. Prepare to present technical concepts to both management and technical audiences, showcasing your excellent communication skills and ability to adapt your message accordingly.