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PwC brand, mid-level generalist title, metro location and broad Azure/AI skills increase candidate competition.
Azure fullstack and GenAI skills transfer across industries but require specific cloud and AI experience.
Explicit years plus mandatory Azure, AKS, TypeScript/C#, and GenAI skills create stringent shortlisting filters.
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Lead development and integration of Microsoft Azure AI services and full stack applications, focusing on migration of legacy enterprise apps to microservice architecture using Azure Kubernetes Services (AKS).
Implement, deploy, and maintain AI and machine learning models leveraging Azure Cognitive Services, Azure Machine Learning, and related cloud technologies.
Coordinate with cross-functional teams to ensure smooth project execution, prioritizing tasks to meet deadlines while supporting clients in business application optimization.
3-7 years of professional experience in Azure AI Services and Microsoft full stack development.
Strong proficiency in Microsoft Azure ecosystem, including Azure App Development, Azure Kubernetes Services (AKS), Azure Cognitive Services, Azure DevOps, and Azure Data Factory.
Proficient in TypeScript, C#, Microsoft .NET framework, and experience integrating AI with Microsoft Teams and Graph API.
Bachelor's degree in Engineering (B.E./B.Tech) or MBA in regular full-time mode without extended course duration due to backlogs.
Experienced in working with AI frameworks such as Lang-Chain, Semantic Kernel, Py-Torch, and Scikit-learn, with hands-on knowledge of large language models, prompt engineering, and NLP techniques.
Demonstrated ability to manage end-to-end cloud AI deployments using Azure services, focusing on operationalizing AI models with strong data engineering skills.
Skilled in coordinating multi-team efforts in a technology consulting environment, with a focus on delivering scalable AI-driven business application solutions.