Role Overview

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.

Key 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 (Aera preferred).
• 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.

• 3 - 6 years of software development experience.
• Experience with Azure AI services: AI Foundry, Azure AI Search and Copilot Studio.
• 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).
• Exposure to decision/data intelligence platforms (Aera preferred).
• 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.
• Knowledge of LLM evaluation, monitoring, governance, and responsible AI practices.

BSc/BA in computer science, software engineering or relevant discipline