Senior Technical Architect, AI/ML

Responsibilities

• Act as a technical expert on all aspects of Snowflake in relation to AI/ML workloads
• Provide customers with best practices and advice regarding Data Science workloads on Snowflake
• Build and deploy ML pipelines using Snowflake features and partner ecosystem tools
• Develop POCs using SQL and Python to demonstrate implementation techniques
• Ensure knowledge transfer to enable customers to extend Snowflake capabilities independently
• Maintain deep understanding of competitive technologies in the AI/ML space
• Work with System Integrator consultants to position and deploy Snowflake in customer environments
• Collaborate with Product Management, Engineering, and Marketing to improve products

Requirements

• University degree in data science, computer science, engineering, mathematics, or related field
• Minimum 6 years of experience in a pre-sales or post-sales technical role
• Thorough understanding of the complete Data Science life-cycle (feature engineering, model development, deployment, and management)
• Strong understanding of MLOps and model monitoring methodologies
• Experience with at least one public cloud platform (AWS, Azure, or GCP)
• Experience with Data Science tools such as AWS SageMaker, AzureML, Dataiku, DataRobot, H2O, or Jupyter Notebooks
• Hands-on scripting experience with SQL and Python, Java, or Scala
• Experience with libraries such as Pandas, PyTorch, TensorFlow, or SciKit-Learn

Preferred Qualifications

• Experience with GenerativeAI, LLMs, and Vector Databases
• Experience with Databricks or Apache Spark
• Experience implementing data pipelines using ETL tools
• Previous experience in a dedicated Data Science role
• Vertical expertise in sectors such as FSI, Retail, or Manufacturing

About the Company

Snowflake is powering the era of the agentic enterprise, helping customers expand their use of the Snowflake Data Cloud to bring data science pipelines from ideation to deployment.