AI Cloud Engineer

AI Cloud Engineer Overview The Cloud Team is part of Digital Engineering Services within the Corporate Technology division Securities. As AI adoption accelerates across our business lines, we are evolving from a traditional cloud infrastructure function into a diverse engineering capability focused on enabling scalable, sustainable AI solutions. To effectively scale AI adoption and enhance our functional offerings across a dynamic and evolving environment, we are expanding the team with engineers who combine strong cloud expertise with robust software engineering skills. These engineers will help define and deliver next-generation cloud patterns, automation frameworks, and AI-driven solutions that meet governance, security, and regulatory needs. You will join a small, dynamic team of engineers working across Azure, Oracle Cloud, and AWS (as it is onboarded), building secure, repeatable cloud and AI foundations that underpin our critical banking services. Key Responsibilities Liaise with application teams and other infrastructure teams. Implement solutions for applications. Work with other members of the cloud team to increase the stability, security and cost effectiveness of the platforms. Provide BAU and Project support to cloud users. Produce architectural designs based on the business requirements documents for projects. Main Purpose of the Role 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. You will be expected to work autonomously, manage ambiguity, and adapt rapidly to evolving business needs while collaborating with application and infrastructure teams to deliver secure, compliant AI and cloud solutions. 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.LS D EXPERIENCE 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 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