Senior AI​/ML Architect, Applied Field Engineering

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Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.

Our Solution Engineering organization is seeking an AI Specialist who can provide hands‑on expertise and support while working with technical decision makers and data scientists to design and architect AI solutions built on the Snowflake AI Data Cloud.

• Be the technical expert in the room that positions Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers across the Americas.
• Partner with Snowflake account teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases.
• Collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback.
• Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos.
• Influence, tailor and maintain Sales Engineering AI and ML selling assets, including customer presentations, demonstrations, and customer stories.

• 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 that are used to operationalize enterprise AI use cases like interactive chat applications or text processing.
• Deep knowledge of Python and common ML packages (such as Lang Chain, pandas, sklearn, and PyTorch) as well as data engineering tools and technologies like dbt, Airflow, and Spark.
• Strong presentation skills to both technical and executive audiences, whether whiteboarding sessions or formal readouts and demos.
• Bachelor’s Degree required;
  Master’s Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.

• Working knowledge of tools in the LLM ecosystem such as Lang Chain, Llama Index, 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.).

The role is eligible to participate in Snowflake’s commission plan and it is common for employees in this role to receive total on‑target earnings of $220,000 – $288,750. The estimated base salary is $165,000 – $216,562. This role is also eligible for Snowflake’s equity plan. The successful candidate’s starting salary will be determined based on permissible, non‑discriminatory factors such as skills, experience, and geographic location.

Benefits include medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee’s duty to keep customer information secure and confidential.

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• Mid‑Senior level

• Full‑time

• Design, Art/Creative, and Information Technology

• Software Development