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 leveraging hands-on expertise to design and architect AI solutions on the Snowflake AI Data Cloud, targeting technical stakeholders and data scientists across the APJ region. This strategic role involves driving proof of concepts (POCs), influencing AI and ML product roadmaps, and collaborating with cross-functional teams to ensure successful customer adoption of AI/ML use cases. The Architect must have extensive experience in deploying machine learning solutions, proficiency in Python and ML frameworks, and strong communication skills in both Japanese and English.
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
$179k – $239k
per year