Azure AI Engineer

What you'll work on

• 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.

What we're looking for

• Master's degree in a related field
• Azure AI Engineer certification
• Microsoft Fabric certification

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All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance.