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.