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Mid-level hybrid role with specific Azure AI specialization reduces broad applicant pool but still attracts qualified candidates.
Strong Microsoft Azure AI and agent-building requirements moderately limit cross-industry transferability.
Explicit 4+ years plus mandatory Azure Copilot/Foundry, MLOps and production AI experience makes filters stringent.
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Design and develop AI-powered solutions, agents, and workflows using Microsoft AI technologies addressing business challenges with measurable impact.
Develop, integrate, and maintain scalable AI workflows using Azure AI Foundry, Copilot Studio, Azure OpenAI, and Microsoft Fabric.
Implement and oversee end-to-end solution lifecycle including prototyping, deployment, monitoring, and continuous improvement with DevOps, MLOps, and AIOps practices.
Minimum 4 years' experience in AI, ML, or Data Engineering building production solutions on the Microsoft AI platform.
Proficiency with Azure AI and ML services, Microsoft Copilot Studio, Foundry, Azure Data Factory, Synapse, and Microsoft Fabric.
Strong skills in Python, SQL, API development, and experience implementing DevOps/MLOps/AIOps pipelines.
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related discipline.
Experienced in building agentic and scalable AI solutions integrated with enterprise data pipelines and APIs on Microsoft Azure ecosystem.
Skilled in applying software, data engineering, and AI best practices with a focus on secure, maintainable, and reliable AI deployments.
Able to collaborate with business stakeholders and product teams to translate complex requirements into operational AI solutions with monitoring and governance mindset.