Senior AI/ML Architect, Applied Field Engineering

Position Overview

• Location Type: Remote
• Job Type: Full-Time
• Salary: $155.6K - $216.6K

Snowflake is seeking an AI Specialist to join their Sales Engineering organization. This role will provide hands-on expertise and support to technical decision makers and data scientists, focusing on designing and architecting AI solutions within the Snowflake AI Data Cloud. This is a strategic position that involves close collaboration with product, engineering, and the broader field organization to ensure successful 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 Snowflake account teams and customer champions to scope and drive Proofs of Concept (POCs) to successful technical wins, demonstrating the value of Snowflake’s capabilities through executive readouts and business value cases.
• Collaborate with Snowflake’s product and engineering teams to influence AI and ML roadmaps based on customer feedback.
• Create content, such as blog posts, conference presentations, technical collateral (notebooks, demos), to help the team and company scale.
• Influence, tailor, and maintain Sales Engineering AI and ML selling assets, including customer 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 such as RAG, few-shot learning, prompt engineering, or fine-tuning for 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 like dbt, Airflow, and Spark.
• Strong presentation skills for both technical and executive audiences, including whiteboarding, formal readouts, and demonstrations.
• Bachelor’s Degree required; Masters Degree in computer science, engineering, mathematics, or a related field, or equivalent experience is preferred.

Bonus Points for Experience With:

• Working knowledge of tools in the LLM ecosystem such as 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 accelerate this expansion. They are looking for individuals who share their values, challenge conventional thinking, and drive innovation.

Application Instructions

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Company Values & Expectations

• Every Snowflake employee is expected to adhere to the company’s confidentiality and security standards for handling sensitive data.
• Employees must comply with 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.