Agentic AI - Technical Lead-App Development

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