Senior AI/ML Architect, Applied Field Engineering

The role

This role provides hands-on expertise to design and architect AI solutions built on the Snowflake AI Data Cloud. You will work with technical decision makers and data scientists to ensure successful customer adoption of AI and ML solutions.

What you will do

• Position Snowflake's AI and ML features and value to technical stakeholders at customers.
• Partner with account teams and customer champions to scope and drive POCs to success.
• Collaborate with product and engineering teams to influence AI and ML roadmaps.
• Publish content like blog posts, presentations, notebooks, and demos to help the company scale.
• Influence, tailor and maintain Sales Engineering AI and ML selling assets.

Required qualifications

• 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud.
• Familiarity and associated knowledge of generative AI techniques like RAG, few shot learning, prompt engineering, or fine-tuning.
• Deep knowledge of Python and common ML packages such as LangChain, pandas, sklearn, and PyTorch.
• Deep knowledge of data engineering tools and technologies like dbt, Airflow, and Spark.
• Strong presentation skills to both technical and executive audiences.
• Bachelor's Degree required.

Nice to have

• Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience
• Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages
• Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. AWS, Microsoft Azure, GCP, etc.)
• 1+ years of practical Snowflake experience
• Knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.)

About the company

Snowflake is powering the era of the agentic enterprise and is growing fast.