The Azure AI Engineer is responsible for implementing and deploying enterprise AI solutions on Azure Stack. They will take ownership of building, integrating, and operationalizing AI workloads using Azure AI Foundry, Azure Databricks, and the broader Microsoft AI ecosystem.
Requirements
- Hands-on experience with Azure AI Foundry, Azure OpenAI, Azure AI Search, and Azure Machine Learning
- Strong proficiency in Azure Databricks (PySpark, Delta Lake, Unity Catalog) and Azure Data Lake Storage Gen2
- Experience building RAG, agentic, and prompt-flow solutions; familiarity with frameworks such as LangChain, Semantic Kernel, or LlamaIndex
- Strong Python skills; comfortable with REST APIs, async patterns, and SDK-based integrations (Azure SDK, OpenAI SDK)
- Practical experience with Terraform and/or Bicep for deploying Azure data and AI services
- Hands-on with Azure DevOps or GitHub Actions for CI/CD; Git-based workflows and environment promotion
- Working knowledge of Docker, AKS or Container Apps, and Azure API Management for exposing AI endpoints
- Azure Monitor, Application Insights, and Log Analytics for AI workload telemetry
- Practical experience implementing content safety, prompt shields, groundedness, and PII detection in production AI systems
- Familiarity with offline and online evaluation methods for LLM applications (groundedness, relevance, safety, custom metrics)
- Awareness of regional data residency, privacy, and Responsible AI principles relevant to UAE / regulated industries
- End-to-end ownership of deployments and accountability for delivery outcomes
Benefits
- Comprehensive health insurance
- 401(k) matching
- Generous parental leave
- Professional development opportunities
