Solutions Architect - AI/ ML at Snowflake

Tokyo, Japan

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Data Science, Cloud ComputingIndustries

Requirements

10+ years of experience in pre-sales or post-sales technical roles collaborating with customers
Experience with at least one public cloud platform (AWS, Azure, or GCP)
Experience using at least one data science tool (e.g., AWS SageMaker, AzureML, Vertex, Dataiku, DataRobot, H2O, Jupyter Notebooks)
Experience with large language models, search, and agent frameworks
Hands-on experience scripting with SQL and at least one of Python, R, Java, or Scala
Experience using libraries such as Pandas, PyTorch, TensorFlow, SciKit-Learn, or similar
Bachelor's degree in Computer Science, Engineering, Mathematics, or related field, or equivalent experience
Ability to travel and flexibility for 25% on-site customer collaboration
Deep understanding of the full data science lifecycle (feature engineering, model development, model deployment, model management)
Deep understanding of MLOps combined with technologies and methodologies for model deployment and monitoring
Bonus Points
Experience using Databricks/Apache Spark
Experience implementing data pipelines using ETL tools
Data science job experience
Track record in enterprise software
Vertical expertise in core industries such as FSI, retail, manufacturing

Responsibilities

Serve as the technical expert on all aspects of Snowflake related to AI/ML workloads
Design solutions based on customer requirements and coordinate with customer teams or system integrators as needed
Build, deploy, and implement ML pipelines using Snowflake features and/or partner tools in the Snowflake ecosystem
Hands-on build POCs demonstrating implementation techniques and best practices for Snowflake technologies for GenAI and ML workloads using SQL, Python, APIs
Follow best practices, including ensuring knowledge transfer
Maintain deep understanding of competing and complementary technologies and vendors in AI/ML and how to position Snowflake relative to them
Collaborate deeply at a technical level with system integrator consultants to successfully position and deploy Snowflake in customer environments
Provide guidance to resolve customer-specific technical challenges
Support the professional development of expertise of other professional services team members
Collaborate with product management, engineering, and marketing to continuously improve Snowflake products and marketing

Skills

Key technologies and capabilities for this role

SnowflakeAI/MLSQLPythonMLOpsAWSAzureGCPSageMakerAzureMLVertex AIDataikuPandasPyTorchTensorFlowScikit-LearnJupyterLLMFeature EngineeringModel Deployment

Questions & Answers

Common questions about this position

What is the salary and benefits for this Solutions Architect role?

For jobs located in the United States, salary and benefits information is available on the Snowflake Careers Site at careers.snowflake.com.

Is this role remote or does it require travel?

The role requires the flexibility to travel, with about 25% of time spent on-site collaborating with customers.

What skills are required for the AI/ML Solutions Architect position?

Required skills include 10+ years in technical pre/post-sales roles, deep knowledge of data science lifecycle (feature engineering, model development, deployment, management), MLOps, experience with at least one public cloud (AWS, Azure, GCP), data science tools like SageMaker or Dataiku, LLMs/search/agent frameworks, SQL and scripting in Python/R/Java/Scala, and libraries like Pandas/PyTorch/TensorFlow/Scikit-Learn.

What is the company culture like at Snowflake?

Snowflake has a culture focused on impact, innovation, and collaboration, empowering enterprises and people to build big, move fast, and take technology and careers to the next level.

What makes a strong candidate for this role?

Strong candidates have 10+ years of customer-facing technical experience, expertise across the full data science lifecycle and MLOps, hands-on skills in cloud platforms, data science tools, LLMs, SQL, Python scripting, and ML libraries, plus bonus for Databricks/Spark, ETL pipelines, data science roles, enterprise software, or vertical expertise in FSI/retail/manufacturing.

Snowflake

Data management and analytics platform

About Snowflake

Snowflake provides a platform called the AI Data Cloud that helps organizations manage and analyze their data. This platform allows users to store and process large amounts of data efficiently, offering services like data warehousing, data lakes, data engineering, data science, and data sharing. Snowflake's system works by uniting data from different sources, enabling secure sharing and performing various types of analytics. What sets Snowflake apart from its competitors is its ability to operate seamlessly across multiple public clouds, allowing users to access their data from anywhere. The company's goal is to help businesses leverage their data for better decision-making by providing a flexible subscription-based service that scales according to their needs.

Bellevue, WashingtonHeadquarters

2012Year Founded

$1,341.3MTotal Funding

IPOCompany Stage

Data & Analytics, Enterprise Software, AI & Machine LearningIndustries

5,001-10,000Employees

Benefits

We've got your back - We offer comprehensive health insurance plans, health savings accounts, robust retirement plans, and generous life and disability insurance.

A Balanced Lifestyle - All Snowflakes have access to our weekly online lunch and learns, virtual workout classes, and ergonomic work-from-home equipment. We offer on-demand mental health and wellness programs to support our employees and their families.

Your People Matter - Help offset the cost of growing your family with our fertility benefits and family planning resources. Count on our generous time-off and various leave plans for you to rest, refuel, and sustain a great work-life balance.

Global Snowflake Team - No matter where you are in the world, we will get you connected and supported with a work-from-home setup.

Treat Yourself - Personalize your Snowflake benefits by tapping into our employee discounts and pre-tax selections.

Invest In Your Future - Eligible employees enjoy new hire equity, Employee Stock Purchase Plan (ESPP), and a quarterly bonus or commission program.

Risks

Integration challenges from Datavolo acquisition may disrupt operations and customer service.

Increased competition from Mistral AI could challenge Snowflake's market position.

Convertible senior notes pricing may increase financial pressure if market conditions worsen.

Differentiation

Snowflake offers a unified platform for diverse data workloads, unlike traditional solutions.

The AI Data Cloud enables near-unlimited scale and performance for data mobilization.

Snowflake's seamless multi-cloud experience ensures efficient data operations across locations.

Upsides

Acquisition of Datavolo enhances Snowflake's open data integration capabilities.

Investment in Metaplane boosts AI-driven data quality solutions for Snowflake users.

Snowflake Ventures' investment in Hex expands accessibility of data tools to non-technical users.

Land your dream remote job 3x faster with AI

Try Jobo Free