IN_Senior Associate_Azure_GCC_Advisory_Gurgaon
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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong PwC brand and Gurgaon metro raise competition, specialized LLM/LLMOps skills moderate applicant density.
ML and LLMOps skills transfer across industries, but Azure-specific stack and advisory context increase domain sensitivity.
Explicit 4-8 years plus mandatory Azure, LLMOps, and AI certifications create strict shortlisting filters.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and implement innovative software solutions using Python and Azure AI Stack to drive digital transformation for clients.
Design, code, test, and deploy applications leveraging emerging technologies such as RAG, Agentic Frameworks, and LLMOps tools in Azure environment.
Contribute to AI product innovation and operationalize AI models using Azure Function Apps and Logic Apps for impactful client outcomes.
Minimum Requirements
4-8 years of relevant work experience in software engineering with focus on Azure and AI technologies.
Bachelor of Technology (B.Tech/BE) degree required.
3+ years experience in Python programming and proficiency with Azure AI Stack components (Foundry, ML, AI Search, Document Intelligence, Vision).
Certification AI-102 is mandatory.
Ideal Candidate Profile
Proven experience working with advanced AI frameworks and operational tools such as LangGraph, LangChain, CrewAI, LangSmith, and RAGAS within cloud platforms.
Strong background in developing and maintaining scalable AI-driven applications in Microsoft Azure environment with additional familiarity in AWS and GCP as preferred.
Demonstrates strategic understanding of AI integration within enterprise applications and capability to deliver end-to-end AI product lifecycle, including AI-Human collaboration features.