Description

The Role

An exciting opportunity exists for an experienced Cloud AI Engineer to join a high-performing technology team delivering complex AI and cloud engineering initiatives.

As a senior EL1-equivalent specialist, you will play a key role in designing, implementing and optimising cloud-native and AI platform capabilities across greenfield and brownfield environments. Working closely with architects, cyber security specialists, data scientists and engineering teams, you will help establish foundational platform capability while ensuring solutions are secure, scalable and compliant with government standards and frameworks.

Security Clearance: Ability to obtain Baseline Clearance

Duties / Typical Day / Responsibilities

• Design and deliver secure, scalable and highly available cloud and AI platforms
• Lead AI workload deployment, migration and operational optimisation activities
• Build reusable Infrastructure as Code (IaC) patterns and automation capabilities
• Design and implement enterprise AI, Machine Learning and Generative AI solutions
• Collaborate with architecture, cyber security and data teams to establish platform standards and governance
• Deliver end-to-end solution design and integration across complex technology environments
• Lead technical implementation activities and provide expert guidance to delivery teams
• Drive DevSecOps practices and secure-by-design architecture outcomes
• Produce solution documentation, technical recommendations and executive briefings
• Resolve complex technical issues and support continuous improvement initiatives
• Engage with stakeholders across multiple business and technology groups
• Contribute to innovation, strategic planning and organisational transformation initiatives

What Our Client Requires

Essential

• Minimum 5 years' experience as a Cloud AI Engineer designing and delivering enterprise-scale cloud solutions
• Strong experience with AI/ML platforms, MLOps and Generative AI technologies
• Demonstrated expertise in cloud architecture, automation and platform engineering
• Experience designing and supporting secure cloud-native environments
• Strong stakeholder management, presentation and communication skills
• Ability to lead technical discussions and influence solution outcomes

Technical Experience

• Kubernetes, OpenShift and OpenShift AI
• Docker, Podman and container platform engineering
• Linux administration, networking, DNS, certificates and storage platforms
• Git, GitHub, GitLab, Azure DevOps and CI/CD pipelines
• Terraform, Ansible and Infrastructure as Code
• Python scripting and automation
• AI/ML engineering and model lifecycle management
• LLMs, Generative AI, Hugging Face, embeddings and vector databases
• GPU platforms including NVIDIA and CUDA
• REST APIs, OAuth/OIDC and enterprise integration technologies
• AWS and/or Microsoft Azure cloud platforms
• SageMaker and/or Azure AI/ML services
• Prometheus, Grafana and observability tooling
• Security, compliance, governance and DevSecOps frameworks
• FinOps and cloud cost optimisation practices

Key Skills

Education

Any Graduate