Source description
About the role
Area(s) of responsibility Design, develop, and deploy GenAI and ML solutions using Azure OpenAI, Azure ML, Azure AI Studio , and related services
Build LLM‑powered applications using: Prompt engineering, Tool/function calling, Retrieval‑Augmented Generation (RAG) and Agentic AI design patterns
Develop Agent‑to‑Agent (A2A) workflows for task decomposition, orchestration, and collaboration
Implement Model Context Protocol (MCP) to standardize tool access, memory, and context management across agents
Apply MLOps and LLMOps practices:
CI/CD for models and prompts and Versioning, monitoring, evaluation
Failure detection and mitigation (hallucinations, drift, prompt regressions)
Implement LLM security and guardrails :
Fine‑tune and adapt models for economy - token economics, latency, and cost optimization
Build and expose AI capabilities via secure APIs and microservices
More at Birlasoft