Senior AI Engineer
- Lead the design and implementation of enterprise AI operational capabilities on Azure.
- Develop and enhance MLOps and LLMOps frameworks, including CI/CD pipelines.
- Establish AI security controls and governance processes.
- Lead the build of enterprise-scale AI operations capabilities
About Our Client
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.
Job 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
The Successful Applicant
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
What's on Offer
Strategic AI LeadershipPlay a key role in building foundational AI capabilities that will influence future enterprise AI adoption and delivery.
Cutting-Edge TechnologyWork with the latest Azure AI technologies, LLM platforms, agent frameworks and cloud-native tooling.
High Impact EnvironmentContribute to a business-critical initiative where your work will directly shape AI operational standards and practices.
Technical OwnershipTake ownership of architecture, implementation and engineering best practices across multiple AI disciplines.
Collaborative Team CulturePartner with senior technical stakeholders while providing guidance and knowledge transfer to internal teams.
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Skills
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