Lead

About

Lead the design, build, and deployment of production‑grade AI solutions on Microsoft Azure, working with cutting‑edge tools like Azure OpenAI, AI Studio, AI Search, and Machine Learning. You’ll design secure APIs, containerize workloads, optimise performance, and collaborate across teams to deliver scalable, compliant solutions. Strong Python skills and proven experience in shipping AI solutions are essential, with expertise in RAG design, prompt engineering, and data integration highly valued.

Responsibilities

• Design and implement AI solutions using Azure AI services (OpenAI, AI Search, Machine Learning).
• Develop secure APIs and integrate with enterprise systems using Azure API Management and Event Hub.
• Containerize workloads and deploy to AKS, App Service, or Functions with CI/CD pipelines.
• Ensure observability, performance tuning, and cost optimization for AI workloads.
• Collaborate with cross-functional teams and document architecture, runbooks, and best practices.

Core Tech Stack

• Azure AI & ML: Azure OpenAI Service, AI Studio, AI Search, Azure Machine Learning.
• Data & Integration: Data Lake Storage, Synapse/Fabric, Data Factory, Event Hub, API Management.
• Compute & Hosting: AKS, Azure Functions, App Service; IaC with Bicep/ARM/Terraform.

Required Experience

• 7+ years in software/ML engineering, with 3+ years delivering production AI solutions on Azure.
• Proven track record of shipped solutions with architecture diagrams and runbooks.
• Expertise in RAG system design, prompt engineering, and performance optimization.
• Strong data engineering skills and secure integration patterns.
• Applied knowledge of Responsible AI principles and compliance requirements