Solutions Architect AI/ML

Japan

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Cloud Computing, Data Warehousing, Artificial Intelligence, AI & Machine LearningIndustries

Requirements

Candidates must have over 10 years of experience in customer-facing technical roles, proficiency in data science and cloud architecture, and a deep understanding of the full data science lifecycle including feature engineering, model development, deployment, and management. A strong grasp of MLOps, experience with at least one public cloud platform (AWS, Azure, or GCP), familiarity with data science tools like Sagemaker or AzureML, and hands-on experience with SQL and scripting languages such as Python are essential. Experience with large language models, search, agent frameworks, and libraries like Pandas, PyTorch, TensorFlow, or SciKit-Learn is required. A Bachelor's degree in Computer Science, Engineering, Math, or a related field, or equivalent experience, is necessary. Bonus points are awarded for experience with Databricks/Apache Spark, ETL tools, data science roles, enterprise software, and vertical expertise in FSI, retail, or manufacturing.

Responsibilities

The Solutions Architect AI/ML will serve as a technical expert on Snowflake for AI/ML workloads, designing and implementing ML pipelines using Snowflake features and partner tools based on customer requirements. This role involves building Proofs of Concept (POCs) using SQL, Python, and APIs to demonstrate implementation techniques and best practices for GenAI and ML workloads. The architect will collaborate with customer teams and system integrators, provide guidance on technical challenges, and support knowledge transfer. They will also maintain a deep understanding of competitive and complementary technologies in the AI/ML space and work with product management, engineering, and marketing to improve Snowflake products and marketing efforts. Flexibility for up to 25% travel for on-site customer collaboration is expected.

Skills

AI/ML

Data Science

Cloud Architecture

Snowflake

Python

SQL

API

GenAI

MLOps

AWS

Azure

GCP

SageMaker

AzureML

Vertex AI

Dataiku

DataRobot

H2O

Jupyter Notebooks

Pandas

PyTorch

TensorFlow

SciKit-Learn

Databricks

Apache Spark

ETL

Feature Engineering

Model Development

Model Deployment

Model Management

Large Language Models

Agent Frameworks

Java

Scala

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.

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