Senior AI/ML Architect, Applied Field Engineering

Snowflake2 days ago

Location

US-NY-New York

Type

Full Time

Salary

USD 165,000 – 216,562

Level

Senior

Role

Senior AI/ML Architect

Posted

Jun 11, 2026

Full TimeSenior

The role

Summary

Snowflake is seeking a Senior AI/ML Architect to drive technical innovation in their Solution Engineering organization, focusing on designing and architecting AI solutions using the Snowflake AI Data Cloud. The ideal candidate will be a technical expert who can collaborate across teams, influence product roadmaps, and help customers leverage cutting-edge AI and machine learning technologies.

What you'll do

Technical Expertise: Position Snowflake's AI and ML features to technical stakeholders across customer organizations in the Americas

Customer Engagement: Drive proof of concepts (POCs) to demonstrate Snowflake's AI capabilities, including executive presentations and business value cases

Product Collaboration: Work with product and engineering teams to provide customer feedback and influence AI and ML product roadmaps

Content Creation: Develop and publish technical content including blog posts, conference presentations, technical notebooks, and demos

Sales Enablement: Create and maintain sales engineering AI and ML assets, including customer presentations, demonstrations, and success stories

What we look for

Technical

Machine Learning Expertise5+ years of experience building and deploying machine learning and generative AI solutions in cloud environments

AI TechniquesProficiency in generative AI techniques including RAG, few-shot learning, prompt engineering, and fine-tuning

Programming SkillsExpert-level Python programming with extensive experience in ML packages like LangChain, pandas, sklearn, and PyTorch

Education

Minimum EducationBachelor's Degree required

Preferred EducationMaster's Degree in computer science, engineering, mathematics, or related fields

Experience

Core ExperienceMinimum 5 years of experience in machine learning and AI solution development

Skills

Required skills

PythonAdvanced programming skills with machine learning libraries

Cloud TechnologiesProficiency in cloud infrastructure and data engineering tools

Presentation SkillsAbility to communicate complex technical concepts to technical and executive audiences

Nice to have

LLM EcosystemExperience with LangChain, LlamaIndex, and open-source AI packages

Cloud PlatformsKnowledge of AWS, Microsoft Azure, or Google Cloud Platform

Database TechnologiesExperience with large-scale database platforms like Snowflake, Netezza, or Teradata

Compensation & benefits

Salary

USD 165,000 – 216,562 (annual)

Stock options

Available

Benefits

Career Growth

Opportunity to work at a fast-growing cloud computing company and influence AI technology

Innovation Environment

Dynamic workplace focused on reimagining work through AI technologies

Interview process

1
Initial Screening — Review of resume and initial qualification assessment
2
Technical Interview — Deep dive into AI/ML technical skills and experience
3
Presentation Round — Candidate demonstrates technical presentation skills and solution design capabilities
4
Final Interview — Meeting with senior leadership to assess cultural fit and strategic thinking