Description
What you can look forward to as an Architect – Data & AI
End to End Architecture Ownership: Own architecture and design of production grade Data & AI platforms spanning cloud infrastructure (Azure), data platforms, ML/LLM systems, and agentic workflows—from concept through deployment, operation, and evolution.Agentic AI Systems (Production First): Architect and drive AI agents using LangGraph, LangChain Expression Language (LCEL), Semantic Kernel, or similar frameworks, emphasizing context engineering, tool routing, memory strategies, guardrails, and deterministic workflows over prompt hacks.Context & Retrieval Engineering: Design robust RAG and non RAG context pipelines using vector databases (Azure AI Search, Pinecone, Weaviate, pgvector), embeddings lifecycle, chunking strategies, re ranking, caching, and fallback logic that work at scale.Model & Agent Evaluation: Define and operationalize agent...