Senior AI Engineer – Azure AI Foundry & Databricks

We are looking for a Senior AI Engineer with strong hands-on experience in Microsoft Azure AI Foundry, Generative AI, RAG, AI Agents, and Databricks. The ideal candidate will be responsible for designing, developing, deploying, and troubleshooting enterprise-grade AI solutions.

Key Responsibilities

• Design and develop GenAI, RAG, and AI Agent solutions using Azure AI Foundry and Azure OpenAI.
• Configure Foundry projects, models, Agents, tools, knowledge sources, memory, and integrations.
• Implement and troubleshoot Agent tracing, backend tracing, observability, and monitoring.
• Build RAG pipelines using Azure AI Search, vector, semantic, and hybrid search.
• Implement AI evaluations, including groundedness, relevance, and response quality.
• Design and configure AI guardrails and safety controls.
• Work with Azure AI Document Intelligence and other Azure AI services.
• Develop scalable AI backends and APIs using Python.
• Build and troubleshoot AI/ML solutions using Azure Databricks.
• Work with Databricks Agent Bricks, Genie, MLflow, and MLflow Tracing.
• Manage AI/data governance using Databricks Unity Catalog, including permissions and attribute-based access control.
• Troubleshoot production issues across Agents, RAG pipelines, Databricks jobs, models, and APIs.Required Skills
• 7+ years of experience in AI/ML, GenAI, software engineering, or related areas.
• Strong hands-on experience with Azure AI Foundry and Azure OpenAI.
• Experience building AI Agents and RAG applications.
• Strong knowledge of AI tracing, evaluation, groundedness, and guardrails.
• Strong Python development and API integration experience.
• Experience with Azure AI Search and Document Intelligence.
• Hands-on experience with Azure Databricks, MLflow, and Unity Catalog.
• Understanding of semantic, vector, and hybrid search.
• Strong troubleshooting and problem-solving skills.Good to Have
• Experience with Databricks Agent Bricks and Genie.
• Experience with Agent memory and enterprise AI governance.
• Knowledge of LangChain, Semantic Kernel, Azure ML, or MLOps.
• Experience with CI/CD and production AI deployments.