Senior AI Platform Engineer

ABOUT YOU

Are you a Senior AI Platform Engineer with hands-on experience building and maintaining AI Gateways and cloud infrastructure? Do you know how to securely connect, manage and monitor AI services in an enterprise environment? You will help build scalable, secure and governed AI platforms using Azure, Kubernetes and modern platform engineering practices.

WHAT ARE YOU GOING TO DO

• Develop and maintain AI Gateway solutions using Azure API Management (APIM), Kong or similar technologies, managing authentication, rate limiting, monitoring and cost tracking.
• Design and maintain scalable Azure infrastructure, integrating AI services with AKS/Kubernetes.
• Build CI/CD pipelines, automate platform processes and implement Infrastructure as Code.
• Ensure security, governance, compliance, availability and monitoring across AI services and infrastructure.
• Develop reusable templates and collaborate with architecture, security and data teams to enable secure AI adoption.

AN IDEAL PROFILE WOULD BE

• Proven hands-on experience with AI Gateways or API management platforms, such as APIM or Kong.
• Strong Azure platform engineering skills, including networking, Entra ID/IAM and cloud-native architectures.
• Experience with AKS/Kubernetes, Azure AI Services, Python, CI/CD and Infrastructure as Code, preferably Bicep.
• Understanding of Generative AI, LLMOps, RAG, AI agents, AI security and monitoring.
• Strong architectural thinking and the ability to work independently in complex, regulated environments.

Tick all the boxes? Then smash that button and let’s have a chat.

ABOUT US:

Levy is an international IT staffing organization providing recruitment and project resourcing services to companies ranging from start-ups to well established global players across the UK, Holland, Germany, Belgium, and the USA. By partnering with our clients, we provide tailored interim and permanent IT staffing solutions to help them deliver their initiatives across applications and infrastructure, touching areas such as Digital, Data, Cloud, Cybersecurity and ERP.