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PwC brand, mid-level experience range, metro location, and broad Azure/GenAI skillset increase candidate competition.
Requires Microsoft Azure, .NET and GenAI expertise, making skills moderately industry-specific but transferable across sectors.
Explicit 3-7 years requirement plus mandatory Azure, full-stack and AI tech stack tightens shortlisting filters.
Develop and implement AI-powered applications using Microsoft Azure AI Services and Azure Cognitive Services, focusing on migrating legacy enterprise apps to microservice architecture.
Manage deployment processes leveraging Azure Kubernetes Services (AKS) and ensure smooth integration with Microsoft Teams and Microsoft Graph API.
Coordinate across teams to prioritize tasks, troubleshoot issues, and meet project deadlines while enhancing operational efficiencies.
3-6 years of professional experience in Microsoft Azure AI Services and full stack development.
Proficiency in TypeScript, C#, and Microsoft .NET framework with experience integrating AI solutions.
Bachelor's degree in Engineering (B.E. / B.Tech) or MBA obtained through regular full-time education without course extensions.
Mandatory skills include Microsoft Azure and full stack engineering expertise; experience with Azure Kubernetes Service (AKS) and AI/ML deployment preferred.
Experienced in developing and deploying AI models and enterprise applications within Azure cloud environment, including Azure DevOps for CI/CD.
Strong understanding of NLP technologies such as Large Language Models, vectorization, prompt engineering, and Azure Text Analytics.
Proven ability to handle both structured and unstructured data using Azure Data Factory and Azure SQL Database to support AI solutions.