Snowflake AI/ML Sr. Solutions Architect

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Job Description AI/ML Architect

The Snowflake AI/ML Architect will serve as a technical expert for AI/ML workloads on Snowflake. This role involves hands-on development, building ML pipelines, supporting customers, and driving best practices across data science and AI engineering teams.

Responsibilities

• Serve as a subject-matter expert on Snowflake for AI/ML workloads.
• Provide best practices for Data Science workloads on Snowflake.
• Build and deploy ML pipelines using Snowflake features and partner tools.
• Develop POCs using SQL, Python, and Snowflake to demonstrate architecture and best practices.
• Ensure knowledge transfer for customer teams to self-manage Snowflake solutions.
• Maintain expertise in competitive AI/ML technologies and position Snowflake effectively.
• Work with SI partners to deploy Snowflake in customer environments.
• Troubleshoot customer-specific technical challenges.
• Support and mentor Professional Services team members.
• Collaborate with Product, Engineering, and Marketing teams on product improvements.
• Replatform chatbots to Snowflake Cortex Analyst; integrate Cortex Search; migrate Churn Prediction models.

Requirements

• 12 14 years of experience in pre-sales or post-sales technical roles.
• Strong presentation skills for technical and executive audiences.
• Deep understanding of the full Data Science lifecycle (feature engineering deployment monitoring).
• Strong MLOps knowledge and model operationalization techniques.
• Experience with at least one cloud platform: AWS, Azure, or Google Cloud Platform.
• Experience with Data Science tools: Sagemaker, AzureML, Dataiku, DataRobot, H2O, Jupyter.
• Hands-on scripting with SQL + Python / Java / Scala.
• Experience with ML libraries: Pandas, PyTorch, TensorFlow, Scikit-Learn, etc.