Solutions Architect – Artificial Intelligence

24 hours ago

Varanasi, Uttar Pradesh, India beBeeArtificial Full time ₹ 1,50,00,000 - ₹ 2,25,00,000
Artificial Intelligence Engineer Position

We are seeking a skilled AI Engineer to join our organization and contribute to the development of cutting-edge AI solutions.

The ideal candidate will have hands-on experience with Azure OpenAI, Cognitive Search, and Semantic Kernel, as well as a good understanding of LLM-based agents, prompt engineering, and tool-use workflows.

Responsibilities include designing and building intelligent agents using Azure AI Foundry and Semantic Kernel, integrating LLMs with enterprise data using Azure Cognitive Search and vector-based retrieval, and developing custom skills, plugins, and workflows using Semantic Kernel Planner and Function Calling.

Additional responsibilities include collaborating with frontend/backend teams to embed copilots in React or .NET-based applications, using Azure Functions, Logic Apps, or Power Automate for task automation and backend orchestration, and deploying and securing solutions using Azure App Services, Containers, and Azure AD authentication.

Requirements include hands-on experience with Azure OpenAI, Cognitive Search, and Semantic Kernel, good understanding of LLM-based agents, prompt engineering, and tool-use workflows, proficiency in Python or .NET Core for backend development, familiarity with REST APIs, data transformation, and cloud pipelines, and experience with cloud integration on Azure.

Benefits of working with us include the opportunity to work on cutting-edge AI solutions, flexible work setup with a fast-paced innovation culture, and exposure to real-world enterprise challenges and global client projects.

Job Summary:

  • Design and build intelligent agents using Azure AI Foundry and Semantic Kernel.
  • Integrate LLMs (GPT-4, GPT-3.5) with enterprise data using Azure Cognitive Search and vector-based retrieval.
  • Build Retrieval-Augmented Generation (RAG) pipelines to answer complex queries from structured/unstructured data.
  • Develop custom skills, plugins, and workflows using Semantic Kernel Planner and Function Calling.
  • Connect to and query data sources like Azure SQL, Synapse, Cosmos DB, and Data Lake using APIs or SDKs.
  • Collaborate with frontend/backend teams to embed copilots in React or .NET-based applications.
  • Use Azure Functions, Logic Apps, or Power Automate for task automation and backend orchestration.
  • Deploy and secure solutions using Azure App Services, Containers, and Azure AD authentication.

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