AI Cloud Engineer

mthree
Charing Cross, United Kingdom
3 days ago

Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 182K

Job location

Charing Cross, United Kingdom

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
User Authentication
Azure
Cloud Computing
Cloud Engineering
Computer Programming
Continuous Integration
Identity and Access Management
Python
OAuth
Oracle Applications
Platform as a Service (PAAS)
Powershell
Service Design
Systems Integration
Scripting (Bash/Python/Go/Ruby)
Prompt Engineering
Generative AI
Bicep
Api Design
Api Gateway
REST
Terraform
Oracle Cloud Infrastructure
GPT
Api Management

Job description

  • 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.

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, 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

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