Azure AI Engineer

We’re seeking an Azure AI Engineer to design, build, and deploy intelligent solutions powered by Azure AI services, Azure AI Foundry, OpenAI on Azure, and Copilot Studio. This role focuses on advanced LLM development, forecasting and time series modeling, autonomous AI agents, and Lakehouse architecture to accelerate automation and business transformation. .

What You’ll Do

• Develop end to end AI/ML solutions using Azure Machine Learning, Azure AI Foundry, OpenAI on Azure, and Copilot Studio.
• Build and fine tune LLM based applications for both internal and customer facing use cases.
• Create and maintain Python based data pipelines and ML models.
• Implement forecasting and time series models for operational and business planning.
• Integrate AI capabilities into business applications using the Power Platform, Azure Cognitive Services, and Copilot Studio.
• Develop autonomous AI Agents and enable A2A (Agent to Agent) communication for complex workflow orchestration.
• Implement MCP (Model Context Protocol) to support context sharing and system interoperability.
• Architect and build Lakehouse solutions using Microsoft Fabric and Delta Lake following Medallion Architecture best practices.
• Ensure Responsible AI: model monitoring, fairness, and explainability.
• Stay current on new AI/ML, LLM, and Microsoft ecosystem innovations.
• Collaborate effectively across teams, uphold quality standards, and support department KPIs.
• Other duties as assigned; some travel may be required.

• 5+ years in AI/ML engineering or similar roles.
• Strong Python skills and experience with ML frameworks (scikit learn, PyTorch, TensorFlow).
• Hands on experience with Azure AI services, Azure ML, and OpenAI on Azure.
• Experience building solutions with Copilot Studio and Power Platform.
• Strong forecasting/time series modeling skills (ARIMA, Prophet, LSTM, etc.).
• Knowledge of LLMs, prompt engineering, and fine tuning.
• Experience with Lakehouse architectures (Azure Synapse, Databricks, Microsoft Fabric).
• Familiarity with Medallion Architecture best practices.
• Strong DevOps/MLOps foundation with CI/CD for ML.
• Experience with MCP and A2A communication for autonomous agents.
• Excellent communication and collaboration skills.