AI/ML Architect - Talent Pipeline

📋 Description Architect and deliver end-to-end AI/ML and GenAI solutions. Design production-grade RAG systems, vector search, embeddings, and AI agents. Lead hands-on Snowflake Cortex implementation and related AI tools. Design scalable ML/LLM pipelines for training, inference, monitoring. Integrate AI with AWS/Azure/GCP, APIs, ETL/ELT, and streaming. Define reusable AI reference architectures, standards, and governance. 🎯 Requirements 10+ years in solution/AI/enterprise architecture or technical delivery. Hands-on experience building and maintaining production AI/ML/GenAI solutions. Experience with LLMs, RAG, vector databases, embeddings, agentic AI, prompts, and evaluation. Strong understanding of ML/DL/NLP, MLOps, and LLMOps. Hands-on with Snowflake Cortex, Cortex Analyst, Cortex Search, Cortex Agents, Snowpark ML. Strong architecture experience across Snowflake and AWS or Azure.