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Posted 16 June, 2026

Artificial Intelligence Engineer

SISL Global
Kanpur, UP, IN Full Time
Reference: 2b2385e8aab155d2

Job Description

Role Overview\nDesign, develop, and deploy Agentic AI solutions leveraging Microsoft Power Platform and Azure services. The role involves building autonomous workflows, AI-powered automation pipelines, and scalable backend integrations using Python and cloud-native services.\n\nMust-Have Skills\n1. Power Automate (Advanced Level)\nDesign and implement complex cloud flows and automated workflows\nExperience with:\nHTTP connectors (REST API integration)\nCustom connectors\nError handling & retry policies\nEnvironment strategy and governance\nIntegration with SharePoint, Dataverse, ServiceNow, Azure services, etc.\nImplement AI-driven orchestration using Power Automate as an agent workflow layer\n\n2.

Azure Databricks (Python)\nStrong proficiency in Python\nExperience with:\nPySpark\nData transformation & ETL pipelines\nDelta Lake architecture (Bronze/Silver/Gold layers)\nBuilding AI/ML-ready data pipelines\nWorking with structured and unstructured datasets\nExperience in embedding generation / vectorization (good advantage for Agentic AI)\n\n3. Azure Function App\nDevelop serverless APIs using:\nPython or C#\nImplement:\nEvent-driven architectures\nDurable functions (if applicable)\nHTTP-triggered AI orchestration endpoints\nIntegration with:\nPower Automate\nDataverse\nAzure Storage / ADLS\nSecure authentication (Managed Identity, OAuth2, App Registrations)\n\nGood-to-Have Skills\nCopilot Studio\nDesigning conversational agents\nBuilding:\nCustom topics\nGenerative answers\nAPI-based actions\nUnderstanding:\nCopilot extensibility\nCustom connectors\nGovernance & environment strategy\n\nAgentic AI-Specific Competencies (Highly Preferred)\nUnderstanding of:\nMulti-agent orchestration\nTool usage patterns\nRetrieval-Augmented Generation (RAG)\nAPI orchestration between AI services\nPrompt engineering fundamentals\nVector database concepts (Azure AI Search preferred)\nAI workflow monitoring & observability

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