More jobs:
AI Cloud Engineer
Job in
London, Greater London, EC1A, England, UK
Listed on 2026-01-17
Listing for:
mthree
Part Time, Contract
position Listed on 2026-01-17
Job specializations:
-
IT/Tech
AI Engineer, Systems Engineer
Job Description & How to Apply Below
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 Power Shell for automation, integration, and AI workflows.
* Real‑world experience implementing and supporting cloud platforms and identity solutions (Azure, Oracle, Entra ).
* 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 (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)
* Power Shell
Governance & Compliance
* Designing AI guardrails for regulated environments
* Security and compliance awareness in financial services
* Ability to ope rationalise 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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