Sr. Technical Architect, AI/ML

Overview

We are looking for a Senior Technical Architect, AI/ML to join our AI/ML Workload Services team, designing high impact solutions that bring data science pipelines from ideation to deployment on Snowflake. The role focuses on technical design, customer collaboration, and enabling other team members.

Responsibilities

• Be a technical expert on all aspects of Snowflake in relation to the AI/ML workload.
• Build, deploy, and maintain ML pipelines using Snowflake features and partner tools based on customer requirements.
• Work hands on using SQL, Python, and APIs to build POCs that demonstrate implementation techniques and best practices for GenAI and ML workloads.
• Follow best practices and ensure knowledge transfer so that customers are properly enabled to extend Snowflake on their own.
• Maintain a deep understanding of competitive and complementary technologies in the AI/ML space and position Snowflake relative to them.
• Collaborate with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments.
• Provide guidance on resolving customer specific technical challenges.
• Support other members of the Services Delivery team to develop their expertise.
• Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake's products and marketing.
• Be able and flexible to travel to work with customers on site up to 25% of the time.

Qualifications

• Minimum 10 years experience working with customers in a pre sales or post sales technical role.
• Skills presenting to both technical and executive audiences, whether using whiteboards or demos.
• Thorough understanding of the complete data science life cycle (feature engineering, model development, deployment and management).
• Strong understanding of MLOps and related technologies for deploying and monitoring models.
• Experience and understanding of at least one public cloud platform (AWS, Azure, or GCP).
• Experience with at least one data science tool such as SageMaker, AzureML, Vertex, Dataiku, DataRobot, H2O, or Jupyter Notebooks.
• Experience with Large Language Models, Retrieval, and Agentic frameworks.
• Hands on scripting experience with SQL and at least one of Python, R, Java, or Scala.
• Experience with libraries such as Pandas, PyTorch, TensorFlow, or SciKit Learn.
• University degree in computer science, engineering, mathematics, or related fields (or equivalent experience).
• Bonus: Experience with Generative AI, LLMs, and vector databases.
• Bonus: Experience with Databricks/Apache Spark, including PySpark.
• Bonus: Experience implementing data pipelines using ETL tools.
• Bonus: Experience working in a data science role.
• Bonus: Proven success at enterprise software.
• Bonus: Vertical expertise in FSI, retail, manufacturing, etc.