Principal AI/ML Architect, Applied Field Engineering

Snowflake2 days ago

Location

US-NY-New York

Type

Full Time

Salary

USD 189,000 – 248,062

Level

Principal

Role

Principal AI/ML Architect

Posted

Jun 11, 2026

Full TimePrincipal

The role

Summary

Snowflake is seeking a Principal AI/ML Architect to drive innovative AI solutions within their Solution Engineering organization. The role involves working closely with technical decision-makers, customers, and cross-functional teams to design, architect, and implement cutting-edge AI and ML solutions using the Snowflake AI Data Cloud platform.

What you'll do

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

Solution Architecture: Design and drive proof-of-concept (POC) projects demonstrating Snowflake's AI capabilities

Cross-Functional Collaboration: Work with product and engineering teams to influence AI and ML roadmaps based on customer insights

Content Creation: Develop technical content including blog posts, conference presentations, and technical collateral

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

What we look for

Technical

Machine Learning Expertise10+ years of experience building cloud-based ML solutions

Programming SkillsAdvanced Python programming with ML libraries and data engineering tools

Education

Bachelor's DegreeRequired in computer science, engineering, mathematics, or related field

Master's DegreePreferred, in computer science, engineering, mathematics, or related fields

Experience

Industry ExperienceExtensive background in AI solution design and implementation

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

Skills

Required skills

Machine LearningExpertise in building and deploying machine learning solutions in cloud environments

PythonAdvanced programming skills with Python for AI and data engineering

Generative AIDeep understanding of generative AI techniques including RAG, few-shot learning, and prompt engineering

Cloud TechnologiesComprehensive knowledge of cloud infrastructure and data platforms

Nice to have

LLM Ecosystem ToolsExperience with LangChain, LlamaIndex, and other open-source AI packages

Cloud PlatformsFamiliarity with AWS, Azure, or GCP infrastructure

Database TechnologiesKnowledge of large-scale database systems like Snowflake, Netezza, Exadata

Compensation & benefits

Salary

USD 189,000 – 248,062 (annual)

Benefits

Innovative Work Environment

Opportunity to work at the forefront of AI and cloud computing

Professional Growth

Chance to influence AI and ML product roadmaps

Technical Challenge

Complex problem-solving in a dynamic, fast-moving environment

Interview process

1
Initial Screening — Review of resume and initial qualification assessment
2
Technical Interview — Deep dive into technical skills, AI expertise, and solution architecture capabilities
3
Presentation Challenge — Candidate demonstrates ability to present complex AI concepts and solutions
4
Leadership Interview — Assessment of cross-functional collaboration and strategic thinking skills
5
Final Executive Review — Comprehensive evaluation of candidate's potential impact on the organization