Snowflake ML Architect with Cortex

Job Description

Role : Snowflake ML Architect (Cortex)

Location : Atlanta Ga / Boston Ma

Position Type : Full-Time

Experience : 12–15+ years overall; 4–5+ years in Data / ML Architecture

About the Role

We’re seeking an experienced Snowflake ML Architect with hands-on expertise in Snowflake Cortex, Snowpark ML, and Generative AI integration.

This role is ideal for someone who combines deep data architecture expertise with machine learning and GenAI solutioning experience — capable of designing, implementing, and scaling AI / ML workloads natively within the Snowflake platform.

You will define end-to-end architectures for data pipelines, model development, and deployment while leveraging Cortex and Snowpark to operationalize AI inside Snowflake.

Key Responsibilities

• Architect and implement end-to-end ML and GenAI solutions within Snowflake using Cortex and Snowpark ML.
• Design and manage data pipelines, feature engineering, model training, and inference workflows.
• Integrate LLMs and vector search for Retrieval Augmented Generation (RAG) and semantic search use cases.
• Collaborate with data engineering and data science teams to standardize ML development and deployment practices.
• Build and optimize data models, UDFs, and stored procedures in Python and Snowflake SQL.
• Leverage Streamlit and Snowflake Native Apps for building ML-driven dashboards or user interfaces.
• Ensure scalability, performance, and governance of ML workloads in Snowflake.
• Stay up to date with new Cortex and Snowpark ML capabilities and recommend best practices for adoption.
• Mentor developers and guide teams in data-to-AI pipeline architecture and MLOps implementation.

Required Skills & Qualifications

Preferred Qualifications