Vice President, Cloud Engineer - AI Engineer

Salary: £40,000 - 80,000 per year

Requirements:

• 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 Cloud, 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 certifications (AZ-104 or higher).
• Bachelors 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 and 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.

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.

Technologies:

• AI
• API
• ARM
• AWS
• Azure
• CI/CD
• Cloud
• IAM
• Support
• Oracle
• PowerShell
• Python
• REST
• Security
• Terraform
• DevOps
• GitHub
• PaaS

More:

We are Mitsubishi UFJ Financial Group (MUFG), one of the worlds leading financial groups, with 150,000 colleagues across the globe working to make a difference for every client, organization, and community we serve. Our culture is built on putting people first, listening to diverse ideas, and collaborating to drive innovation, speed, and agility. This role sits within the Cloud Team in Digital Engineering Services at MUFG Securities Corporate Technology division in London. We are evolving from a traditional cloud infrastructure function into a broader engineering capability focused on scalable, sustainable AI solutions, and we are open to flexible working requests in line with organizational requirements. We value diversity, inclusion, and equal opportunity, and we are committed to building an environment where all employees are respected and their opinions count.

last updated 34 week of 2026