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Lead AI and cloud engineering at MUFG's Digital Engineering Services in London.
Build scalable AI solutions across Azure, Oracle Cloud, and AWS, ensuring governance, security, and compliance in the financial sector.
Do you want your voice heard and your actions to count?
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 ROLE
This 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.
SKILLS AND EXPERIENCE
Essential Experience
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.
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.
Key Skills (Prioritised)
Cloud Platforms Expertise:
Azure (general engineering + PaaS services)
Entra ID (identity architecture, authentication flows)
AI/ML & Generative AI:
Azure OpenAI (deployment, integration, governance)
OpenAI SDK, GPT models, embeddings and vector workflows
Prompt engineering with governance and safety controls
Programming & Scripting
Python (essential)
PowerShell
Governance & Compliance
Designing AI guardrails for regulated environments
Security and compliance awareness in financial services
Ability to operationalise Responsible AI controls
API Development & Integration
REST API development and integration
API Management / API Gateway patterns
OAuth2, client credential flows, identity‑driven service design
Automation & DevOps
CI/CD pipelines (GitHub Actions, Azure DevOps, etc.)
IaC (Bicep, ARM, Terraform)
Reusable automation frameworks
Supporting Tools
VS Code
GitHub Enterprise (Repos, Actions, Packages)
Artifactory or similar
Education & Certifications
Essential:
Azure certifications (AZ-104 or higher)
Bachelor’s degree or equivalent experience
PERSONAL REQUIREMENTS
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.