Senior AI/ML Architect, Applied Field Engineering
Snowflake
About this role
The Senior AI/ML Architect in Applied Field Engineering at Snowflake is responsible for designing and implementing AI solutions using the Snowflake AI Data Cloud, collaborating closely with cross-functional teams including product and engineering. This role involves engaging with technical stakeholders to showcase Snowflake’s AI and ML capabilities, leading proof of concepts, and shaping product roadmaps based on customer feedback. The position also requires contributions to technical documentation and sales engineering resources, leveraging extensive experience in machine learning, Python, and cloud technologies.
Skills
Qualifications
About Snowflake
www.snowflake.comSnowflake, Inc. is a cloud-based data warehousing company that provides a highly scalable and reliable platform for data storage, processing, and analytics. Known as the Snowflake Data Cloud, it empowers organizations to seamlessly manage and analyze their data, leveraging AI and advanced analytics tools without the complexity of traditional data management solutions. Snowflake's architecture eliminates data silos, enabling real-time collaboration and driving innovation across various industries. Its user-friendly interface and robust security features make it a preferred choice for businesses looking to harness the power of their data effectively.
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About Snowflake
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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and employee contacts for Snowflake.
Salary
$165k – $217k
per year