Technical Architect AI/ML

Job Description

AS A TECHNICAL ARCHITECT, AI/ML AT SNOWFLAKE, YOU WILL:

• Be a technical expert on all aspects of Snowflake in relation to the AI/ML workload
• 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
• 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 Services Delivery team develop their expertise
• Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing
• Ability and flexibility to travel to work with customers on-site 25% of the time

OUR IDEAL TECHNICAL ARCHITECT, AI/ML WILL HAVE:

• Minimum 10 years experience working with customers in a pre-sales or post-sales technical role
• 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 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

BONUS POINTS FOR HAVING:

• Experience with Generative AI, LLMs and Vector Databases.
• Experience with Databricks/Apache Spark, including PySpark
• 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

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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