IN_Senior Associate_ AI Engineer_Data and Analytics_Advisory_Bangalore
PwC India (company site, opens in a new tab)4–7 yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted 0m ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and support production-grade AI applications using LLMs, agentic workflows, RAG, vector search, and Azure cloud-native services.
- Integrate AI features with MLOps-managed agents and manage AI Gateway patterns including routing, authentication, policy controls, and logging.
- Implement production readiness practices such as testing, monitoring, guardrails, safety controls, and collaborate with security and compliance teams to meet governance requirements.
Minimum Requirements
- 4 – 7 years of experience in AI/ML engineering or related backend development roles.
- Strong proficiency in Python and one backend language (Java or Node.js).
- Experience with Azure Cloud services including Azure AI Search, Azure Functions, Cosmos DB, Redis, and Azure Container Apps.
- Hands-on experience with LLMs, agentic AI frameworks (Agentic Layer A2A, MCP Protocol), prompt engineering, RAG, LangChain, and LangGraph.
Ideal Candidate Profile
- Experienced in designing scalable, secure, and observable AI integrations for enterprise applications using cloud-native Azure architectures.
- Technical operator skilled in advanced AI orchestration, vector embeddings, prompt/version management, and AI workflow automation.
- Capable of collaborative work with cross-functional teams including product, platform, MLOps, security, and compliance for end-to-end AI solution delivery.