Job Details

Our company is seeking an Agentic AI Software Development professional to design, build, and deploy autonomous AI agents in a cloud-first environment. The ideal candidate is passionate about artificial intelligence, skilled in Azure data integration, and thrives in a dynamic setting where impactful solutions drive business goals. This role will leverage advanced Microsoft Azure tools for data processing and decision automation, enabling AI agents to interact with data and deliver actionable insights with limited human oversight.

Key Responsibilities

• Design, develop, and deploy agentic AI applications capable of executing tasks and making decisions with minimal supervision (Based on general knowledge).
• Architect data pipelines and workflows using Azure Data Factory for efficient data ingestion, transformation, and scheduling (Based on general knowledge).
• Develop and manage data solutions in Azure SQL and Azure Data Lake, ensuring reliable storage, full lifecycle management, and optimal performance of large datasets (Based on general knowledge).
• Build interactive dashboards and data visualizations using Power BI to present analytical results and real-time intelligence to stakeholders (Based on general knowledge).
• Integrate enterprise-grade security and compliance protocols across all AI and data projects (Based on general knowledge).
• Collaborate with cross-functional teams including business analysts, data engineers, and cloud architects to align technical solutions with strategic objectives (Based on general knowledge).
• Monitor, troubleshoot, and optimize AI agent performance throughout deployment lifecycles (Based on general knowledge).
• Stay up-to-date on emerging AI frameworks, Azure updates, and industry best practices; proactively recommend enhancements to existing systems (Based on general knowledge).

Qualifications

• Proven experience in agentic AI or autonomous software development, preferably within cloud and enterprise environments (Based on general knowledge).
• Hands-on expertise with Azure Data Factory, Azure SQL, Azure Data Lake, and Power BI (Based on general knowledge).
• Solid programming skills in Python, C#, or Java; experience with AI/ML libraries and cloud API integration (Based on general knowledge).
• Strong understanding of data architecture, ETL pipelines, and analytics modeling (Based on general knowledge).
• Excellent communication skills; able to translate technical solutions into business value (Based on general knowledge).