Senior AI/ML Architect, Applied Field Engineering

Responsibilities

• Be the technical expert positioning Snowflake’s AI and ML features and value to technical stakeholders at customers across the Americas
• Partner with account teams and customer champions to scope and drive POCs to success and technical wins, including executive readouts and business value cases
• Collaborate with product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback
• Publish content such as blog posts, conference presentations, notebooks, and demos to scale team efforts
• Influence, tailor, and maintain Sales Engineering AI and ML selling assets including presentations, demonstrations, and customer stories

Requirements

• 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud
• Familiarity with generative AI techniques like RAG, few-shot learning, prompt engineering, or fine-tuning for enterprise use cases
• Deep knowledge of Python and common ML packages (LangChain, pandas, sklearn, PyTorch)
• Experience with data engineering tools and technologies (dbt, Airflow, Spark)
• Strong presentation skills for both technical and executive audiences
• Bachelor’s Degree required; Master’s Degree in computer science, engineering, mathematics or related fields preferred

Nice-to-Haves

• Working knowledge of LLM ecosystem tools (LangChain, LlamaIndex, or other OSS packages)
• Experience with large-scale IaaS platforms (AWS, Microsoft Azure, GCP)
• 1+ years of practical Snowflake experience
• Knowledge of large-scale database technologies (Snowflake, Netezza, Exadata, Teradata, Greenplum)