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About the Role

Snowflake is seeking AI-native thinkers with a strong background in data science and cloud architecture to join the AI/ML Workload Services team. This role involves creating new offerings and capabilities for customers, helping them expand their use of the Data Cloud for data science pipelines from ideation to deployment. The position is highly technical and hands-on, requiring solution design, customer coordination, and collaboration with Systems Integrators.

Responsibilities

Act as a technical expert on Snowflake for AI/ML workloads.
Build and deploy ML pipelines using Snowflake features and partner tools.
Develop POCs using SQL, Python, and APIs to demonstrate GenAI and ML implementation techniques on Snowflake.
Ensure knowledge transfer to enable customers to extend Snowflake capabilities.
Maintain a deep understanding of competitive and complementary AI/ML technologies.
Collaborate with System Integrator consultants on technical positioning and deployment.
Provide guidance on resolving customer-specific technical challenges.
Support the development of expertise within the Services Delivery team.
Collaborate with Product Management, Engineering, and Marketing to improve products.
Travel up to 25% to work with customers on-site.

Requirements

Minimum 10 years of experience in a pre-sales or post-sales technical role working with customers.
Ability to present to both technical and executive audiences.
Thorough understanding of the complete Data Science life-cycle.
Strong understanding of MLOps, including model deployment and monitoring.
Experience with at least one public cloud platform (AWS, Azure, or GCP).
Experience with at least one Data Science tool (e.g., Sagemaker, AzureML, Vertex, Dataiku, DataRobot, H2O, Jupyter Notebooks).
Experience with Large Language Models, Retrieval, and Agentic frameworks.
Hands-on scripting experience with SQL and Python, R, Java, or Scala.
Experience with libraries such as Pandas, PyTorch, TensorFlow, SciKit-Learn, or similar.
University degree in computer science, engineering, mathematics, or related fields, or equivalent experience.

Skills

Data Science
Cloud Architecture
AI/ML
SQL
Python
APIs
GenAI
MLOps
AWS
Azure
GCP
Sagemaker
AzureML
Vertex
Dataiku
DataRobot
H2O
Jupyter Notebooks
Large Language Models
Retrieval Frameworks
Agentic Frameworks
Pandas
PyTorch
TensorFlow
SciKit-Learn
Generative AI
Vector Databases
Databricks
Apache Spark
PySpark
ETL tools

Location

On-site travel required

Work Type

Full-time
Hybrid

Experience Level

Minimum 10 years experience

Education Level

University degree in computer science, engineering, mathematics or related fields, or equivalent experience

About the Company

Snowflake is powering the era of the agentic enterprise.
Snowflake is growing fast and scaling its team to accelerate growth.
We look for people who share our values, challenge ordinary thinking, and push the pace of innovation.