AI Engineer - Cloud

CompanyCrisil

LocationLondon Area, United Kingdom

Posted At3/5/2026

UK Visa Sponsorship Analytics

Occupation Type

IT business analysts, architects and systems designers

Occupation Code Skill LevelHigher Skilled

Sponsorship Salary Threshold

£54,900 (£28.15 per hour)

Occupation rate applies

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Description

Job duties-

Deliver hands-on engineering at the intersection of cloud platforms, software development, and AI enablement, building secure, scalable and sustainable AI-ready solutions. Design, develop and support reusable cloud and automation patterns that enable enterprise AI adoption while meeting security, governance and regulatory expectations. Work with cross-functional stakeholders to translate evolving requirements into reliable platform capabilities and production-grade implementations.

Cloud & AI Solution Engineering
Design and implement AI-ready solutions primarily on Microsoft Azure, with exposure to Oracle Cloud and AWS as required.
Engineer and integrate AI services (e.g., Azure OpenAI) into business workflows with appropriate controls and operational readiness.
Software Engineering & Integration
Build and maintain RESTful APIs, integration services, and identity-aware solution patterns.
Implement secure authentication and authorisation flows (e.g., OAuth2, token-based access

, client credential patterns).

Automation, DevOps & Infrastructure-as-Code

Develop bespoke automation and integration components using Python and PowerShell.

Build and maintain CI/CD pipelines and adopt modern engineering practices for repeatable delivery.

Implement Infrastructure-as-Code using Bicep/ARM/Terraform and drive reusable automation frameworks.

Operations, Governance, Security & Cost

Provide BAU and project support for cloud and AI workloads, ensuring stability, resilience and performance.

Implement governance guardrails and controls to support responsible, compliant AI adoption in regulated environments.

Contribute to platform security posture, compliance adherence and cost optimisation through engineering best practices.

Documentation & Architecture

Produce clear architectural designs and engineering documentation to enable repeatable patterns and scalable implementation.

Skills-

Essential

Strong hands-on engineering experience on Microsoft Azure, including PaaS services and cloud-native implementation patterns.
Proven experience with Infrastructure-as-Code (Bicep/ARM/Terraform).
Strong proficiency in Python (essential) and PowerShell for automation and integration.
Experience implementing and supporting cloud identity and access solutions (e.g., Entra ID) and secure identity-driven architectures.
Hands-on experience building REST APIs, service integrations and secure identity flows (OAuth2, tokens).
Familiarity with Azure OpenAI / OpenAI models and SDKs, including embeddings and vector-based workflows applied to real use cases.
Strong understanding of IAM, security patterns, governance and compliance expectations in regulated environments.

Preferred

Experience with Azure API Management or comparable API gateway solutions.
Exposure to Responsible AI controls, AI governance practices, and model lifecycle controls in regulated settings.
Knowledge of AI orchestration / vectorisation patterns and related frameworks (e.g., Foundry or equivalent concepts).