Snowflake SENIOR ARCHITECT MACHINE LEARNING FIELD CTO 

United States 

236412355

• Apply your data science architecture expertise while presenting Snowflake technology and vision to executives and technical stakeholders at strategic prospects, customers, and partners.
• Work with Snowflake account teams to help customers scope AI and ML projects, execute technical evaluations, and architect production grade solutions.
• Collaborate closely with our Product team to influence Snowflake’s AI and ML product roadmaps based on field team and customer feedback.
• Partner with Product Marketing teams to spread awareness and support pipeline building via customer roundtables, conferences, events, blogs, webinars, and whitepapers

• 5+ years of experience building and deploying machine learning solutions in the cloud, including expert level experience with Python and popular third party packages (Pandas, Numpy, Tensorflow, sklearn, Pytorch, etc.)
• 1-2 years of experience working with LLMs on real-world use cases, including exposure to developer tools like langchain.
• Applied knowledge of techniques needed to build performant Generative AI solutions with LLMs and foundation models in enterprise settings, like few shot prompt engineering, RAG, search and retrieval techniques, etc.
• 2+ years of working with cloud native ML and AI tools such as Sagemaker, AzureML, or VertexAI.
• Strong knowledge of SQL
• Strong knowledge of data engineering technologies and tools (dbt, Airflow, etc)
• Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
• Bachelor’s Degree in computer science, engineering, mathematics or related fields, or equivalent experience

• 2+ years experience building and deploying ML or data engineering applications and solutions on Spark
• Working knowledge of R, Scala, or other scripting languages
• 1+ years of practical Snowflake experience.
• Experience working in a go-to-market team at a SaaS company or technical consulting organization.
• Knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.)
• Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience

The application window is expected to be open untilSeptember 22, 2024

The following represents the expected range of compensation for this role:

• The estimated base salary range for this role is $150,000 - $210,000.
• Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.