IN_Senior Associate_AI Engineer_Data and Analytics_Advisory_Bangalore
PwC India (company site, opens in a new tab)4–8 yrsBengaluruOn-siteDirect career pageEst. 15–35 LPA
Posted 46m ago
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Job description
Structured overview of role & requirements
About This Role
- Build and deploy AI-powered application features using Large Language Models (LLMs), agentic workflows, and AI orchestration platforms on Azure.
- Design, implement, and optimize scalable, production-ready AI solutions integrating technologies like LangChain, vector embeddings, and cloud-native Azure services.
- Ensure production readiness with testing, monitoring, governance, security, and compliance collaboration, including documentation of integration patterns and operational runbooks.
Minimum Requirements
- 4-8 years of relevant work experience in AI engineering or related roles.
- Bachelor's or Master's degree in Engineering or Technology (B.E, B.Tech, M.E, M.Tech, MCA).
- Strong programming skills in Python plus one backend language (Java or Node.js).
- Proficiency in Azure Cloud deployment and AI-related services including Azure Functions, Azure Container Apps, Azure AI Search, vector databases, Redis, and Cosmos DB.
Ideal Candidate Profile
- Experienced in building production AI integrations with expertise in LLMs, agentic AI frameworks, prompt engineering, and RAG solutions using LangChain and LangGraph.
- Proficient in software engineering best practices including testing, observability, secure integration, and production support in AI application contexts.
- Familiar with cloud-native architectures emphasizing scalability, reliability, cost optimization, and security governance within enterprise AI environments.