Principal AI/ML Architect, Applied Field Engineering

Position Overview

• Location Type: Remote
• Job Type: Full-Time
• Salary: $163K - $232K

Snowflake is seeking an AI Specialist for its Sales Engineering organization. This role involves providing hands-on expertise and support to technical decision-makers and data scientists in designing and architecting AI solutions on the Snowflake AI Data Cloud. It's a strategic position that collaborates with product, engineering, and field teams to ensure successful customer adoption of Snowflake’s AI & ML solutions.

Responsibilities

• Act as the technical expert, showcasing 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 successfully execute Proofs of Concept (POCs) that demonstrate Snowflake’s capabilities, including executive readouts and business value cases.
• Collaborate with Snowflake’s product and engineering teams to influence AI and ML roadmaps based on customer feedback.
• Contribute to scaling knowledge and efforts by publishing content such as blog posts, conference presentations, technical collateral, notebooks, and demos.
• Influence, tailor, and maintain Sales Engineering AI and ML selling assets, including customer presentations, demonstrations, and customer stories.

Requirements

• 8+ years of experience in building and deploying machine learning and generative AI solutions in the cloud.
• Familiarity with generative AI techniques such as RAG, few-shot learning, prompt engineering, or fine-tuning for operationalizing enterprise AI use cases (e.g., interactive chat applications, text processing).
• Deep knowledge of Python and common ML packages (e.g., LangChain, pandas, sklearn, PyTorch).
• Proficiency with data engineering tools and technologies (e.g., dbt, Airflow, Spark).
• Strong presentation skills for both technical and executive audiences, including whiteboarding, formal readouts, and demonstrations.
• Bachelor’s Degree required.
• Master’s Degree in computer science, engineering, mathematics, or a related field, or equivalent experience, is preferred.

Bonus Points For Experience With:

• Working knowledge of LLM ecosystem tools like LangChain, LlamaIndex, and NeMo-Guard.
• 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).

Company Information

Snowflake is experiencing rapid growth and is scaling its team to enable and accelerate this expansion. The company seeks individuals who share its values, challenge conventional thinking, and drive innovation, contributing to both their personal future and Snowflake's.

Every Snowflake employee is expected to adhere to the company’s confidentiality and security standards for handling sensitive data and must comply with the company’s data security plan as an essential part of their duties. Keeping customer information secure and confidential is a fundamental responsibility.

For job postings located in the United States, please visit the Snowflake Careers Site (careers.snowflake.com) for detailed salary and benefits information.