High-CTR: Senior AI/ML Architect Careers at Snowflake - Tokyo, Japan | Apply Now!
Snowflake
High-CTR: Senior AI/ML Architect Careers at Snowflake - Tokyo, Japan | Apply Now!
Job Description
Role Overview
As a Senior AI/ML Architect within Snowflake's Applied Field Engineering/Field CTO organization, you will play a pivotal role in empowering enterprises to unlock their full potential through the power of data and AI. Based in Tokyo, Japan, you will be at the forefront of driving the adoption of Snowflake's AI Data Cloud across the Asia-Pacific and Japan (APJ) region. This is a unique opportunity to work with cutting-edge technology, collaborate with talented teams, and make a significant impact on Snowflake's growth and customer success.
A Day in the Life
Your day will be a blend of technical leadership, customer engagement, and collaboration. You might start by meeting with a key customer to understand their specific AI/ML challenges and identify opportunities to leverage Snowflake's capabilities. You'll then work with the customer's data scientists and technical decision-makers to design and architect a tailored AI solution. This could involve building proof-of-concept (POC) implementations, presenting technical demos, and developing compelling business value cases.
Another part of your day might be spent collaborating with Snowflake's product and engineering teams, providing valuable feedback on customer needs and influencing the roadmap for future AI/ML features. You'll also dedicate time to creating content that helps the broader Snowflake team scale their expertise, such as blog posts, conference presentations, and technical collateral like notebooks and demos. Finally, you'll work closely with the APJ account teams to ensure that customers successfully adopt AI/ML use cases on Snowflake.
Why Tokyo, Japan?
Tokyo is a global hub for innovation and technology, making it the ideal location for this role. As the Senior AI/ML Architect, you'll be positioned to work with some of the most forward-thinking companies in the region, helping them to transform their businesses with AI and data. The vibrant culture and diverse business landscape of Tokyo offer a unique environment for professional growth and development. Additionally, being based in Tokyo provides easy access to other key markets within the APJ region.
Career Path
This role offers a clear path for career advancement within Snowflake. You can progress to become a Principal AI/ML Architect, leading larger and more complex projects. Alternatively, you can move into a leadership role within the Applied Field Engineering/Field CTO organization, managing a team of architects and driving the overall AI/ML strategy for the APJ region. Snowflake's commitment to employee growth and development ensures that you'll have the resources and support you need to achieve your career goals.
Salary & Benefits
Snowflake offers a competitive salary and benefits package that is commensurate with experience and location. In addition to a base salary, you'll be eligible for performance-based bonuses and stock options. Snowflake's benefits package includes comprehensive health insurance, generous paid time off, professional development opportunities, and a range of other perks designed to support your well-being and financial security. (Specific salary details are not disclosed in this job posting.)
Innovation Culture
Snowflake is a company that thrives on innovation. We encourage our employees to think big, challenge the status quo, and push the boundaries of what's possible. As the Senior AI/ML Architect, you'll be surrounded by talented and passionate individuals who are committed to building the future of data and AI. Snowflake's culture of collaboration and open communication ensures that everyone has a voice and can contribute to the company's success.
How to Apply
If you're a highly motivated and experienced AI/ML architect with a passion for helping customers succeed, we encourage you to apply for this position. Please submit your resume and a cover letter highlighting your relevant experience and skills through the Snowflake careers website. We look forward to hearing from you!
Frequently Asked Questions (FAQ)
- What is the Snowflake AI Data Cloud? The Snowflake AI Data Cloud is a unified platform that enables organizations to store, process, and analyze all their data in one place. It provides a comprehensive set of AI/ML tools and capabilities that make it easy for data scientists and engineers to build and deploy AI applications at scale.
- What are the key responsibilities of a Senior AI/ML Architect? The key responsibilities include designing and architecting AI solutions for customers, providing technical expertise and support, collaborating with product and engineering teams, and creating content to scale the team's knowledge.
- What skills and experience are required for this role? The requirements include 5+ years of experience building and deploying AI/ML solutions, familiarity with generative AI techniques, deep knowledge of Python and common ML packages, strong presentation skills, and business-level proficiency in Japanese and English.
- What is the career path for this role? The career path includes opportunities to advance to Principal AI/ML Architect or to take on a leadership role within the Applied Field Engineering/Field CTO organization.
- What are the benefits of working at Snowflake? Snowflake offers a competitive salary and benefits package, a culture of innovation, and opportunities for professional growth and development.
- What type of AI/ML solutions will I be working on? You will be working on a wide range of AI/ML solutions, including natural language processing, computer vision, predictive analytics, and more.
- How will I be supporting customers? You will be supporting customers by understanding their AI/ML challenges, designing and architecting tailored solutions, building POC implementations, and providing ongoing technical guidance.
- How does this role contribute to Snowflake's overall success? This role is critical to driving the adoption of Snowflake's AI Data Cloud and helping customers unlock the full potential of their data through AI.
- What is Snowflake's culture like? Snowflake has a culture of innovation, collaboration, and open communication. We encourage our employees to think big, challenge the status quo, and push the boundaries of what's possible.
- What opportunities are there for professional development? Snowflake offers a range of professional development opportunities, including training programs, conferences, and mentorship programs.
Locations
- Tokyo, Japan
Salary
0Skills Required
- Machine Learningintermediate
- Generative AIintermediate
- RAGintermediate
- Few Shot Learningintermediate
- Prompt Engineeringintermediate
- Fine-tuningintermediate
- Pythonintermediate
- LangChainintermediate
- pandasintermediate
- sklearnintermediate
- PyTorchintermediate
- dbtintermediate
- Airflowintermediate
- Sparkintermediate
- LLMintermediate
Required Qualifications
- 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud. (experience)
- Familiarity with generative AI techniques like RAG, few shot learning, prompt engineering, or fine-tuning. (experience)
- Deep knowledge of Python and common ML packages (such as LangChain, pandas, sklearn, and PyTorch). (experience)
- Experience with data engineering tools and technologies like dbt, Airflow, and Spark. (experience)
- Strong presentation skills to both technical and executive audiences. (experience)
- Bachelor’s Degree required. (experience)
- Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred. (experience)
- Business level proficiency in Japanese. (experience)
- Business level proficiency in English. (experience)
- Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages. (experience)
- Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. AWS, Microsoft Azure, GCP, etc.). (experience)
- 1+ years of practical Snowflake experience. (experience)
- Knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.) (experience)
- Working experience with quota carrying roles in the past. (experience)
Responsibilities
- Be the technical expert in the room that positions Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers across the APJ region.
- Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases.
- Collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback.
- Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos.
- Influence, tailor and maintain Solution Engineering AI and ML selling assets, including customer presentations, demonstrations, and customer stories.
- Work with account teams across APJ region to help customers adopt AI/ML use cases on Snowflake
- Design and architect AI solutions built on the Snowflake AI Data Cloud.
- Ensure successful execution and customer adoption of Snowflake’s AI & ML solutions.
- Drive technical wins and prove the value of Snowflake’s capabilities.
- Provide hands-on expertise and support to technical decision makers and data scientists.
- Work closely with cross-functional teams, including product, engineering, and the broader field organization.
- Maintain confidentiality and security standards for handling sensitive data.
Benefits
- general: Comprehensive health insurance
- general: Generous paid time off
- general: Professional development opportunities
- general: Employee stock purchase plan
- general: Retirement savings plan
- general: Paid parental leave
- general: Flexible work arrangements
- general: Employee assistance program
- general: Wellness programs
- general: Commuter benefits
- general: Life insurance
- general: Disability insurance
Tags & Categories
Answer 10 quick questions to check your fit for High-CTR: Senior AI/ML Architect Careers at Snowflake - Tokyo, Japan | Apply Now! @ Snowflake.
Related Books and Jobs
High-CTR: Senior AI/ML Architect Careers at Snowflake - Tokyo, Japan | Apply Now!
Snowflake
High-CTR: Senior AI/ML Architect Careers at Snowflake - Tokyo, Japan | Apply Now!
Job Description
Role Overview
As a Senior AI/ML Architect within Snowflake's Applied Field Engineering/Field CTO organization, you will play a pivotal role in empowering enterprises to unlock their full potential through the power of data and AI. Based in Tokyo, Japan, you will be at the forefront of driving the adoption of Snowflake's AI Data Cloud across the Asia-Pacific and Japan (APJ) region. This is a unique opportunity to work with cutting-edge technology, collaborate with talented teams, and make a significant impact on Snowflake's growth and customer success.
A Day in the Life
Your day will be a blend of technical leadership, customer engagement, and collaboration. You might start by meeting with a key customer to understand their specific AI/ML challenges and identify opportunities to leverage Snowflake's capabilities. You'll then work with the customer's data scientists and technical decision-makers to design and architect a tailored AI solution. This could involve building proof-of-concept (POC) implementations, presenting technical demos, and developing compelling business value cases.
Another part of your day might be spent collaborating with Snowflake's product and engineering teams, providing valuable feedback on customer needs and influencing the roadmap for future AI/ML features. You'll also dedicate time to creating content that helps the broader Snowflake team scale their expertise, such as blog posts, conference presentations, and technical collateral like notebooks and demos. Finally, you'll work closely with the APJ account teams to ensure that customers successfully adopt AI/ML use cases on Snowflake.
Why Tokyo, Japan?
Tokyo is a global hub for innovation and technology, making it the ideal location for this role. As the Senior AI/ML Architect, you'll be positioned to work with some of the most forward-thinking companies in the region, helping them to transform their businesses with AI and data. The vibrant culture and diverse business landscape of Tokyo offer a unique environment for professional growth and development. Additionally, being based in Tokyo provides easy access to other key markets within the APJ region.
Career Path
This role offers a clear path for career advancement within Snowflake. You can progress to become a Principal AI/ML Architect, leading larger and more complex projects. Alternatively, you can move into a leadership role within the Applied Field Engineering/Field CTO organization, managing a team of architects and driving the overall AI/ML strategy for the APJ region. Snowflake's commitment to employee growth and development ensures that you'll have the resources and support you need to achieve your career goals.
Salary & Benefits
Snowflake offers a competitive salary and benefits package that is commensurate with experience and location. In addition to a base salary, you'll be eligible for performance-based bonuses and stock options. Snowflake's benefits package includes comprehensive health insurance, generous paid time off, professional development opportunities, and a range of other perks designed to support your well-being and financial security. (Specific salary details are not disclosed in this job posting.)
Innovation Culture
Snowflake is a company that thrives on innovation. We encourage our employees to think big, challenge the status quo, and push the boundaries of what's possible. As the Senior AI/ML Architect, you'll be surrounded by talented and passionate individuals who are committed to building the future of data and AI. Snowflake's culture of collaboration and open communication ensures that everyone has a voice and can contribute to the company's success.
How to Apply
If you're a highly motivated and experienced AI/ML architect with a passion for helping customers succeed, we encourage you to apply for this position. Please submit your resume and a cover letter highlighting your relevant experience and skills through the Snowflake careers website. We look forward to hearing from you!
Frequently Asked Questions (FAQ)
- What is the Snowflake AI Data Cloud? The Snowflake AI Data Cloud is a unified platform that enables organizations to store, process, and analyze all their data in one place. It provides a comprehensive set of AI/ML tools and capabilities that make it easy for data scientists and engineers to build and deploy AI applications at scale.
- What are the key responsibilities of a Senior AI/ML Architect? The key responsibilities include designing and architecting AI solutions for customers, providing technical expertise and support, collaborating with product and engineering teams, and creating content to scale the team's knowledge.
- What skills and experience are required for this role? The requirements include 5+ years of experience building and deploying AI/ML solutions, familiarity with generative AI techniques, deep knowledge of Python and common ML packages, strong presentation skills, and business-level proficiency in Japanese and English.
- What is the career path for this role? The career path includes opportunities to advance to Principal AI/ML Architect or to take on a leadership role within the Applied Field Engineering/Field CTO organization.
- What are the benefits of working at Snowflake? Snowflake offers a competitive salary and benefits package, a culture of innovation, and opportunities for professional growth and development.
- What type of AI/ML solutions will I be working on? You will be working on a wide range of AI/ML solutions, including natural language processing, computer vision, predictive analytics, and more.
- How will I be supporting customers? You will be supporting customers by understanding their AI/ML challenges, designing and architecting tailored solutions, building POC implementations, and providing ongoing technical guidance.
- How does this role contribute to Snowflake's overall success? This role is critical to driving the adoption of Snowflake's AI Data Cloud and helping customers unlock the full potential of their data through AI.
- What is Snowflake's culture like? Snowflake has a culture of innovation, collaboration, and open communication. We encourage our employees to think big, challenge the status quo, and push the boundaries of what's possible.
- What opportunities are there for professional development? Snowflake offers a range of professional development opportunities, including training programs, conferences, and mentorship programs.
Locations
- Tokyo, Japan
Salary
0Skills Required
- Machine Learningintermediate
- Generative AIintermediate
- RAGintermediate
- Few Shot Learningintermediate
- Prompt Engineeringintermediate
- Fine-tuningintermediate
- Pythonintermediate
- LangChainintermediate
- pandasintermediate
- sklearnintermediate
- PyTorchintermediate
- dbtintermediate
- Airflowintermediate
- Sparkintermediate
- LLMintermediate
Required Qualifications
- 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud. (experience)
- Familiarity with generative AI techniques like RAG, few shot learning, prompt engineering, or fine-tuning. (experience)
- Deep knowledge of Python and common ML packages (such as LangChain, pandas, sklearn, and PyTorch). (experience)
- Experience with data engineering tools and technologies like dbt, Airflow, and Spark. (experience)
- Strong presentation skills to both technical and executive audiences. (experience)
- Bachelor’s Degree required. (experience)
- Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred. (experience)
- Business level proficiency in Japanese. (experience)
- Business level proficiency in English. (experience)
- Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages. (experience)
- Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. AWS, Microsoft Azure, GCP, etc.). (experience)
- 1+ years of practical Snowflake experience. (experience)
- Knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.) (experience)
- Working experience with quota carrying roles in the past. (experience)
Responsibilities
- Be the technical expert in the room that positions Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers across the APJ region.
- Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases.
- Collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback.
- Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos.
- Influence, tailor and maintain Solution Engineering AI and ML selling assets, including customer presentations, demonstrations, and customer stories.
- Work with account teams across APJ region to help customers adopt AI/ML use cases on Snowflake
- Design and architect AI solutions built on the Snowflake AI Data Cloud.
- Ensure successful execution and customer adoption of Snowflake’s AI & ML solutions.
- Drive technical wins and prove the value of Snowflake’s capabilities.
- Provide hands-on expertise and support to technical decision makers and data scientists.
- Work closely with cross-functional teams, including product, engineering, and the broader field organization.
- Maintain confidentiality and security standards for handling sensitive data.
Benefits
- general: Comprehensive health insurance
- general: Generous paid time off
- general: Professional development opportunities
- general: Employee stock purchase plan
- general: Retirement savings plan
- general: Paid parental leave
- general: Flexible work arrangements
- general: Employee assistance program
- general: Wellness programs
- general: Commuter benefits
- general: Life insurance
- general: Disability insurance
Tags & Categories
Answer 10 quick questions to check your fit for High-CTR: Senior AI/ML Architect Careers at Snowflake - Tokyo, Japan | Apply Now! @ Snowflake.
Related Books and Jobs