Senior AI Engineer

Join a major enterprise transformation focused on establishing secure, scalable AI operations capabilities across machine learning, LLM applications and AI agents on Azure. You will design and implement reusable MLOps, LLMOps, DevSecOps and observability frameworks that enable the successful deployment and management of AI solutions. **Client Details** Our client is a large enterprise organisation undertaking a significant AI transformation initiative. They are investing in modern AI engineering practices and scalable cloud\-based platforms to support the deployment, monitoring and governance of advanced AI solutions across the business. **Description** Design and implement enterprise AI operational capabilities on Azure Build and enhance reusable MLOps and LLMOps frameworks Develop CI/CD pipelines with automated testing and release controls Implement AI monitoring, logging, tracing and observability solutions Configure Azure AI, OpenAI and AI Search services Establish AI security controls, governance and compliance processes Deploy and manage AI workloads using modern cloud services Create documentation, reusable templates and knowledge transfer materials **Profile** Strong hands\-on Azure AI engineering experience Expertise with Azure AI Foundry, OpenAI and AI Search Advanced Python development and automation skills Strong background in MLOps and deployment pipelines Experience building CI/CD and DevSecOps frameworks Knowledge of AI monitoring, telemetry and observability Experience with RAG, LLM applications and AI agents Proven ability to deliver reusable, production\-ready solutions **Job Offer** Strategic AI Leadership Play a key role in building foundational AI capabilities that will influence future enterprise AI adoption and delivery. Cutting\-Edge Technology Work with the latest Azure AI technologies, LLM platforms, agent frameworks and cloud\-native tooling. High Impact Environment Contribute to a business\-critical initiative where your work will directly shape AI operational standards and practices. Technical Ownership Take ownership of architecture, implementation and engineering best practices across multiple AI disciplines. Collaborative Team Culture Partner with senior technical stakeholders while providing guidance and knowledge transfer to internal teams. To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Mitchell Anderson