Senior AI/ML Architect, Applied Field Engineering/Field CTO

Snowflake3 months ago

Location

Tokyo, Japan

Type

Full Time

Salary

JPY 12,000,000 – 18,000,000

Level

Senior

Role

ML Engineer

Posted

Dec 12, 2025

Full TimeSenior

The role

Summary

Snowflake seeks a Senior AI/ML Architect to provide technical expertise and support for AI solutions built on the Snowflake AI Data Cloud in the APJ region. The role focuses on working with technical decision makers and data scientists to design, architect, and drive adoption of AI/ML solutions while collaborating with cross-functional teams.

What you'll do

Technical AI/ML Expertise: Serve as the technical expert positioning Snowflake's AI and ML features to technical stakeholders across the APJ region

Proof of Concept Leadership: Partner with account teams and customer champions to scope and drive POCs demonstrating Snowflake's AI/ML capabilities

Product Roadmap Influence: Collaborate with product and engineering teams to influence AI/ML roadmaps based on customer feedback and market needs

Technical Content Creation: Publish scalable content including blog posts, conference presentations, and technical collateral like notebooks and demos

Sales Asset Development: Influence, tailor and maintain Solution Engineering AI/ML selling assets including presentations and customer demonstrations

Customer Adoption Support: Work with account teams across APJ region to help customers adopt AI/ML use cases on Snowflake platform

Executive Communication: Deliver executive readouts and business value cases to demonstrate technical wins and ROI

Cross-functional Collaboration: Work closely with product, engineering, and field organization teams to ensure successful execution of AI solutions

What we look for

Technical

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

Generative AI ExpertiseFamiliarity with RAG, few shot learning, prompt engineering, and fine-tuning for enterprise AI applications

Python ProficiencyDeep knowledge of Python and common ML packages including LangChain, pandas, sklearn, and PyTorch

Data Engineering SkillsExperience with data engineering tools like dbt, Airflow, and Spark

Presentation SkillsStrong presentation abilities for both technical and executive audiences

Education

Bachelor's DegreeBachelor's degree required in any field

Advanced Degree PreferredMaster's degree in computer science, engineering, mathematics or related fields preferred

Experience

Language ProficiencyBusiness level proficiency in both Japanese and English languages

Cloud AI/ML ImplementationProven track record of deploying AI/ML solutions in cloud environments

Technical LeadershipExperience working with technical decision makers and data scientists

Skills

Required skills

Python ProgrammingDeep expertise in Python with focus on ML/AI libraries and frameworks

Machine Learning5+ years building and deploying ML solutions in production environments

Generative AIHands-on experience with RAG, prompt engineering, and fine-tuning techniques

Data EngineeringProficiency with dbt, Airflow, Spark and other data pipeline tools

Japanese LanguageBusiness level proficiency for client communication in APJ region

English LanguageBusiness level proficiency for global team collaboration

Technical PresentationsAbility to present complex technical concepts to diverse audiences

Nice to have

LLM Ecosystem ToolsWorking knowledge of LangChain, LlamaIndex and other open source packages

Cloud PlatformsExperience with AWS, Azure, GCP infrastructure-as-a-service platforms

Snowflake Platform1+ years of practical experience with Snowflake data cloud

Large-scale DatabasesKnowledge of Netezza, Exadata, Teradata, Greenplum and similar technologies

Sales ExperiencePrevious experience with quota-carrying roles and customer-facing responsibilities

Compensation & benefits

Salary

JPY 12,000,000 – 18,000,000 (annual)

Stock options

Available

Benefits

Stock Options

Equity participation in Snowflake's growth as a publicly traded cloud computing company

Professional Development

Opportunities to publish content, present at conferences, and influence product roadmaps

Global Collaboration

Work with international teams across product, engineering, and field organizations

Technical Growth

Access to cutting-edge AI/ML technologies and Snowflake's data cloud platform

Conference Participation

Speaking opportunities at industry conferences and technical events

Interview process

1
Initial Screening — Phone/video call with recruiting team to assess basic qualifications and cultural fit
2
Technical Assessment — Hands-on technical evaluation of Python, ML, and AI expertise including live coding
3
Solution Architecture Interview — Deep dive into designing AI/ML solutions on cloud platforms with whiteboarding session
4
Presentation Round — Technical presentation to stakeholders demonstrating communication skills and domain expertise
5
Customer Scenario Interview — Role-playing customer interactions and POC scoping scenarios
6
Final Interview Panel — Multi-stakeholder interview including product, engineering, and field team members