AI Foundry Engineer

Role details

Responsibilities

• Translate business use cases into scalable, production-ready AI solutions.
• Design, develop, and operate RAG solutions, AI agents, prompts, tools, and orchestration workflows.
• Integrate structured and unstructured enterprise data with business applications.
• Evaluate and monitor model and agent performance.
• Implement security, responsible AI, and content-safety controls.
• Prepare technical documentation and knowledge-transfer materials.

Required experience

• At least 6 years of software, data, or AI engineering experience, including at least 2 years delivering generative AI or Azure AI solutions.
• Experience taking enterprise AI solutions from proof of concept through production.
• Hands-on experience with Microsoft Foundry, Foundry Models, Agent Service, SDKs, model deployment, evaluation, tracing, and monitoring.
• Strong Python development skills.

Required technical skills

• Experience with Azure OpenAI, prompt engineering, embeddings, vector search, RAG, tool calling, and agent orchestration.
• Experience with Azure AI Search and enterprise data integration.
• Experience with REST APIs, Git, CI/CD, and Azure DevOps.
• Knowledge of Azure identity, RBAC, Key Vault, private networking, data security, responsible AI, and Azure AI Content Safety.
• Experience deploying through Azure Functions, App Service, Container Apps, or AKS.

Language and preferences

• English is required; Arabic speaking is preferred.
• Microsoft Azure AI Engineer Associate certification is desirable.
• Experience with secure enterprise AI and multidisciplinary teams is desirable.
• Operational, energy, financial, asset-performance, forecasting, optimization, or predictive-maintenance use-case experience is desirable.