Summary:
Design, build, and productionize agentic AI and decision/data intelligence applications on Azure. The role focuses on LLM orchestration, enterprise data and knowledge integration, and reliable, scalable deployment of AI solutions.
Responsibilities:
- Develop agentic AI workflows using modern Agentic AI frameworks and Azure AI Foundry.
- Build copilots and conversational apps with Microsoft Copilot Studio.
- Develop decision and data intelligence applications, including integrations with enterprise platforms.
- Integrate AI apps with enterprise data via Azure AI Search and Databricks.
- Build APIs, pipelines, and secure data access across Azure cloud platforms.
- Productionize POCs with monitoring, testing, performance optimization, and security controls.
- Collaborate with product, data, and platform teams to deliver scalable AI solutions.
Requirements:
- 3 - 6 years of software development experience.
- Experience with Azure AI services: AI Foundry, Azure AI Search, and Copilot Studio.
Required Skills:
- Strong Python and SQL for data manipulation, automation, and integration.
- Hands-on experience with LLMs, prompt engineering, and agent/tool orchestration.
- Experience with agentic AI frameworks (e.g., LangChain, LangGraph, Semantic Kernel, AutoGen).
- Databricks or equivalent data engineering platform.
- Strong understanding of API integration, data pipelines, and cloud deployment patterns.
- Familiarity with low code automation tools such as Power Automate.
- Experience with CI/CD, MLOps, or DevOps practices on Azure.
- Experience building multi-agent systems and AI agents that use tools/APIs.
Preferred Skills:
- Exposure to decision/data intelligence platforms (Aera preferred).
- Knowledge of LLM evaluation, monitoring, governance, and responsible AI practices.
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