AI Cloud Engineer

AI Cloud Engineer

London (Hybrid): Onsite 4:1 WFH

Inside IR35 Contract

We’re seeking a forward-thinking engineer ready to sit at the absolute intersection of Cloud Infrastructure and Artificial Intelligence within this international banking group. This is a unique opportunity to join a small, dynamic team within a leading financial services institution as they evolve their digital engineering capabilities. You will play a pivotal role in building the secure, scalable foundations that underpin critical banking services, transitioning from traditional cloud functions into a high-impact AI enablement powerhouse.

Key Responsibilities

• Design and implement cloud and AI-ready solutions on Azure, building repeatable patterns and integration services that support next‑generation workloads.
• Develop bespoke components using the OpenAI SDK and GPT models, ensuring all AI adoption is underpinned by robust governance and safety guardrails.
• Drive automation through Infrastructure-as-Code (Bicep, Terraform) and CI/CD pipelines, while maintaining REST APIs and identity‑aware solution patterns.
• Work autonomously to manage ambiguity, collaborating across infrastructure and application teams to enhance platform stability and cost efficiency.

Skills & Experience Required

• Azure expertise: Deep hands‑on experience with Azure engineering, PaaS services, and Infrastructure-as-Code (Bicep, ARM, or Terraform).
• Software engineering: Strong proficiency in Python (essential) and PowerShell for building automation frameworks, REST APIs, and identity flows (OAuth2).
• Identity & security: Solid understanding of Entra ID, IAM patterns, and implementing security controls within a regulated environment.
• AI integration: Familiarity with Azure OpenAI, embeddings, and vector workflows, with the ability to operationalise responsible AI controls.
• Qualifications: Hold an Azure certification (AZ‑104 or higher) and a Bachelor’s degree or equivalent professional experience.

Desirables

• Experience with Azure API Management, AI orchestration frameworks, or knowledge of AI model lifecycle controls.

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