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About the Role

Snowflake's Solution Engineering organization is seeking an AI Specialist to provide hands-on expertise and support, working with technical decision makers and data scientists to design and architect AI solutions built on the Snowflake AI Data Cloud. This strategic role collaborates with cross-functional teams to ensure successful execution and customer adoption of Snowflake’s AI & ML solutions.

Responsibilities

• Act as the technical expert, positioning Snowflake’s AI and ML features and value to technical stakeholders at customer sites across the Americas.
• Partner with account teams and customer champions to scope and drive POCs to successful 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, or technical collateral to scale knowledge.
• 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 AI use cases.
• Deep knowledge of Python and common ML packages (e.g., LangChain, pandas, sklearn, PyTorch).
• Proficiency with data engineering tools and technologies such as dbt, Airflow, and Spark.
• Strong presentation skills for both technical and executive audiences.
• Bachelor’s Degree required.
• Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.
• Working knowledge of tools in the LLM ecosystem (e.g., LangChain, LlamaIndex, or other OSS packages).
• Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g., AWS, Microsoft Azure, GCP).
• 1+ years of practical Snowflake experience.
• Knowledge of and experience with large-scale database technology (e.g., Snowflake, Netezza, Exadata, Teradata, Greenplum).

Skills

• Generative AI
• RAG
• Few shot learning
• Prompt engineering
• Fine-tuning
• Python
• LangChain
• pandas
• sklearn
• PyTorch
• dbt
• Airflow
• Spark
• LLM ecosystem tools
• Infrastructure-as-a-service platforms
• Snowflake
• Large-scale database technology

Experience Level

• 5+ years of experience

Education Level

• Bachelor's Degree
• Masters Degree

About the Company

• Snowflake is powering the era of the agentic enterprise.
• We are looking for AI-native thinkers energized by the opportunity to reinvent how they work.
• We seek low-ego individuals who thrive in dynamic and fast-moving environments with an experimental mindset.
• Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth.
• We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.