Senior AI/ML Architect, Applied Field Engineering

📋 Description

• Be the technical expert in the room that positions Snowflake's AI and ML features and value to
• Partner with Snowflake account team teams and customer champions to scope and drive POCs to success
• Collaborate with Snowflake's product and engineering teams to influence Snowflake's AI and ML
• Publish content that helps the team and company scale beyond your individual efforts, like blog
• Influence, tailor and maintain Sales Engineering AI and ML selling assets, including customer

🎯 Requirements

• 5+ years of experience building and deploying machine learning and generative AI solutions in the
• Familiarity and associated knowledge of generative AI techniques like RAG, few shot learning
• Deep knowledge of Python and common ML packages (such as LangChain, pandas, sklearn, and PyTorch)
• Strong presentation skills to both technical and executive audiences, whether whiteboarding
• Bachelor's Degree required, Masters Degree in computer science, engineering, mathematics or related
• Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS

🎁 Benefits

• Salary: $165,000 – $216,562
• Benefits information available on the Snowflake Careers Site for United States positions.