Snowflake
Sr. Technical Architect AI/ML
AU-Victoria-Remote · Senior
Sponsorship not specifiedDetected 8 days ago
PythonJavaSQLSnowflakeDatabricksAWSGCPAzureCloud PlatformsMachine LearningTensorFlowPyTorchscikit-learnPandasSparkData EngineeringData ScienceLLMsMLOpsPublic Speaking
About the role
- To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work.
- You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact.
- At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Responsibilities
- Build, deploy and ML pipelines using Snowflake features and/or Snowflake ecosystem partner tools based on customer requirements
- Work hands-on where needed using SQL, Python, and APIs to build POCs that demonstrate implementation techniques and best practices on Snowflake technology for GenAI and ML workloads
- Follow best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own
- Maintain deep understanding of competitive and complementary technologies and vendors within the AI/ML space, and how to position Snowflake in relation to them
- Support other members of the Services Delivery team develop their expertise
- Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake's products and marketing
Requirements
- Strong understanding of MLOps, coupled with technologies and methodologies for deploying and monitoring models
- Experience with at least one Data Science tool such as Sagemaker, AzureML, Vertex, Dataiku, DataRobot, H2O, and Jupyter Notebooks
- Experience with Large Language Models, Retrieval and Agentic frameworks
- Hands-on scripting experience with SQL and at least one of the following; 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
- Experience with Generative AI, LLMs and Vector Databases.
- Experience with Databricks/Apache Spark, including PySpark
Compensation
- For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com
Company info
- Minimum 10 years experience working with customers in a pre-sales or post-sales technical role
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This listing is sourced directly from Snowflake's careers page and normalized into a canonical job model.