Job Specifications
AI Cloud Engineer
Hybrid - 3 days per week in office
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 the bank.
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.
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 in working with Microsoft AI technology such as Copilot, Power Apps, Azure AI etc.
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
About the Company
mthree helps organisations succeed by building job-ready teams with the most in-demand skills.
We bridge the skills gap at every level in technology, business and banking. Whether we’re deploying trained emerging talent and seasoned experts or reskilling existing employees, we provide the people and skills you need across the globe.
We offer new ways to create high performance teams – complementing traditional strategies like recruitment, internal graduate programmes, and the big consultancies.
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