Sr. Technical Architect AI/ML

About the role

Join Snowflake's AI/ML Workload Services team, a part of the Services Delivery group, to help customers expand their use of the Data Cloud. This role focuses on bringing data science pipelines from concept to deployment using Snowflake features and its extensive partner ecosystem. You will be a hands-on technical expert, designing solutions and coordinating with customer teams and System Integrators.

Key facts

What you'll do

• Serve as a technical authority on all aspects of Snowflake related to AI/ML workloads.
• Construct and deploy machine learning pipelines using Snowflake features or partner tools based on customer needs.
• Develop proof-of-concepts using SQL, Python, and APIs to demonstrate best practices for GenAI and ML on Snowflake.
• Ensure knowledge transfer to customers so they can independently extend Snowflake capabilities.
• Maintain awareness of competing and complementary AI/ML technologies and position Snowflake accordingly.
• Collaborate deeply with System Integrator consultants to deploy Snowflake in customer environments.
• Offer guidance to resolve specific customer technical challenges.
• Support the skill development of other Services Delivery team members.
• Work with Product Management, Engineering, and Marketing to improve Snowflake products and outreach.
• Travel up to 25% of the time for on-site customer engagements.

Requirements

• At least 10 years of experience in a customer-facing technical role (pre-sales or post-sales).
• Ability to present effectively to both technical and executive audiences.
• Comprehensive understanding of the data science lifecycle, including feature engineering, model development, deployment, and management.
• Strong grasp of MLOps, including technologies and methods for model deployment and monitoring.
• Experience with at least one public cloud platform (AWS, Azure, or GCP).
• Familiarity with at least one data science tool like Sagemaker, AzureML, Vertex, Dataiku, DataRobot, H2O, or Jupyter Notebooks.
• Experience with Large Language Models, Retrieval, and Agentic frameworks.
• Hands-on scripting with SQL and at least one of the following: Python, R, Java, or Scala.
• Experience with libraries such as Pandas, PyTorch, TensorFlow, or SciKit-Learn.
• A university degree in computer science, engineering, mathematics, or a related field, or equivalent practical experience.

Nice to have

• Experience with Generative AI, LLMs, and Vector Databases.
• Experience with Databricks/Apache Spark, including PySpark.
• Experience implementing data pipelines using ETL tools.
• Previous experience in a dedicated Data Science role.
• Demonstrated success with enterprise software.
• Expertise in a specific industry vertical like FSI, Retail, or Manufacturing.

Skills & tools

• SQL
• Python
• R
• Java
• Scala
• APIs
• AWS
• Azure
• GCP
• Sagemaker
• AzureML
• Vertex
• Dataiku
• DataRobot
• H2O
• Jupyter Notebooks
• Pandas
• PyTorch
• TensorFlow
• SciKit-Learn
• Databricks/Apache Spark
• PySpark
• ETL tools
• Large Language Models (LLMs)
• Generative AI
• Vector Databases
• Retrieval frameworks
• Agentic frameworks

Practical notes

• This role is based in Australia, Victoria, and is remote.
• For US-based roles, salary and benefits information can be found on the Snowflake Careers Site.