Senior AI/ML Architect, Applied Field Engineering

Snowflake3 days ago

Location

US-MA-Boston

Type

Full Time

Salary

USD 165,000 – 216,652

Level

Senior

Role

AI/ML Architect

Posted

May 12, 2026

Full TimeSenior

The role

Summary

Snowflake is seeking a Senior AI/ML Architect to drive technical innovation in their Solution Engineering team, focusing on positioning Snowflake's AI and ML capabilities to enterprise customers. The ideal candidate will be a technical expert who can architect AI solutions, collaborate across teams, and help shape the future of enterprise AI technology.

What you'll do

Technical Expertise: Serve as the primary technical expert positioning Snowflake's AI and ML features to technical stakeholders across customer organizations

Solution Design: Partner with account teams to scope and drive proof-of-concept (POC) projects that demonstrate Snowflake's AI capabilities

Product Collaboration: Work closely with Snowflake's product and engineering teams to provide customer feedback and influence AI/ML product roadmaps

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

Sales Enablement: Develop and maintain sales engineering AI and ML selling assets, including customer presentations and technical demonstrations

What we look for

Technical

Machine Learning Experience5+ years of experience building and deploying machine learning and generative AI solutions in cloud environments

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

Programming SkillsAdvanced Python programming with proficiency in ML libraries like LangChain, pandas, sklearn, and PyTorch

Data Engineering ToolsExperience with data engineering technologies such as dbt, Airflow, and Spark

Education

Minimum EducationBachelor's Degree required

Preferred EducationMaster's Degree in Computer Science, Engineering, Mathematics, or related field

Experience

Cloud AI SolutionsDemonstrated experience in developing and implementing AI solutions in cloud environments

Presentation SkillsStrong ability to communicate technical concepts to both technical and executive audiences

Skills

Required skills

PythonAdvanced programming in Python with machine learning library expertise

Machine LearningComprehensive understanding of machine learning techniques and implementation

Cloud TechnologiesProficiency in cloud computing platforms and AI infrastructure

Nice to have

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

Cloud PlatformsKnowledge of major cloud providers like AWS, Azure, and GCP

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

Compensation & benefits

Salary

USD 165,000 – 216,652 (annual)

Benefits

Innovative Work Environment

Opportunity to work at the forefront of AI and cloud computing technology

Career Growth

Potential to influence product roadmaps and AI solution development

Interview process

1
Initial Screening — Review of resume and initial qualifications
2
Technical Interview — In-depth discussion of AI/ML expertise and cloud solution architecture
3
Presentation Challenge — Demonstrate technical communication skills through a presentation or technical demonstration
4
Final Interview — Meeting with senior leadership to assess cultural fit and strategic thinking