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Snowflake SOLUTIONS ARCHITECT AI/ML 
United States 
927523097

10.09.2024
AS A SOLUTIONS ARCHITECT - AI/ML AT SNOWFLAKE, YOU WILL :
  • Be a technical expert on all aspects of Snowflake in relation to the AI/ML workload.
  • Provide customers with best practices and advise as it relates to Data Science workloads on Snowflake
  • 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, Java and/or Scala to build POCs that demonstrate implementation techniques and best practices on Snowflake technology within the Data Science workload.
  • 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
  • Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments
  • Provide guidance on how to resolve customer-specific technical challenges.
  • Support other members of the Professional Services team develop their expertise.
  • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.
OUR IDEAL SOLUTION ARCHITECT - AI/ML WILL HAVE :
  • University degree in data science, computer science, engineering, mathematics or related fields, or equivalent experience.
  • Minimum 6 years experience working with customers in a pre-sales or post-sales technical role.
  • Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
  • Thorough understanding of the complete Data Science life-cycle including feature engineering, model development, model deployment and model management.
  • Strong understanding of MLOps, coupled with technologies and methodologies for deploying and monitoring models.
  • Experience and understanding of at least one public cloud platform (AWS, Azure or GCP).
  • Experience with at least one Data Science tool such as AWS Sagemaker, AzureML, Dataiku, Datarobot, H2O, and Jupyter Notebooks.
  • Hands-on scripting experience with SQL and at least one of the following; Python, Java or Scala.
  • Experience with libraries such as Pandas, PyTorch, TensorFlow, SciKit-Learn or similar.
BONUS POINTS FOR HAVING :
  • Experience with GenerativeAI, LLMs and Vector Databases.
  • Experience with Databricks/Apache Spark.
  • Experience implementing data pipelines using ETL tools.
  • Experience working in a Data Science role.
  • Proven success at enterprise software.
  • Vertical expertise in a core vertical such as FSI, Retail, Manufacturing etc.

We accept applications for this role on an ongoing basis.

The following represents the expected range of compensation for this role:

  • The estimated base salary range for this role is $147,000 - $204,750.
  • Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.