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Strong PwC brand, mid-level generalist Azure fullstack role in a metro location increases competition.
Role demands Azure, .NET and GenAI experience, making cross-industry transfers moderately feasible.
Explicit years plus mandatory Azure, .NET, and AI/AKS skills create strict technical shortlisting filters.
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Develop and deploy Microsoft Azure-based AI applications, leveraging Azure Cognitive Services and Azure Kubernetes Service (AKS).
Migrate legacy enterprise applications to microservices architecture with data migration responsibilities.
Coordinate across teams to ensure seamless integration, deployment, and maintenance of AI-driven business applications.
3-7 years of experience in Azure AI Services including Azure Cognitive Services and Azure App Development.
Proficiency in TypeScript, C#, and Microsoft .NET framework with experience integrating AI solutions with Microsoft Teams and Microsoft Graph API.
Bachelor's degree in Engineering/Technology (B.E./B.Tech) or MBA, full-time regular mode without backlog extensions.
Mandatory skills: Microsoft Azure, Microsoft full stack engineering; experience with AI/ML deployment on Azure App Services or AKS.
Strong technical foundation in Azure cloud services with practical experience in AI frameworks such as Lang-Chain, Semantic Kernel, Py-Torch, and Scikit-learn.
Experienced in NLP, including working with Large Language Models, vectorization, prompt engineering, and Azure Text Analytics.
Able to manage end-to-end AI application lifecycles, including data engineering (Azure Data Factory, Azure SQL) and CI/CD using Azure DevOps.