AI Engineer

AI Cloud Engineer

Hybrid - 3 days per week in office

This is a hands‑on engineering role at the intersection of cloud platforms (Azure), software development, and AI enablement. You will design, develop, and support bespoke cloud and AI solutions across Azure, 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
• 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)
• EntraID (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