Vice President, Cloud Engineer - AI Engineer

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., * 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.

• 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

• 1. 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.

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.