Artificial Intelligence Engineer

Role Purpose
Lead the design, build, and deployment of production-grade AI solutions on Microsoft Azure. Own end-to-end delivery—from data pipelines to model deployment, ensuring security, reliability, and compliance.
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; I...