Technical Architect AI/ML
Core
Design and deploy AI/ML solutions for customers using Snowflake's Data Cloud, bridging the gap between data science ideation and production deployment.
Role type
Senior IC Technical Architect (AI/ML)
Builds
Production-ready AI/ML pipelines and POCs on Snowflake
Domain
Cloud Data Platform / Generative AI / MLOps
Deliverable
production ML models
Required skills
Data science lifecycle expertise, MLOps, SQL, Python, LLMs, Agentic frameworks, Cloud platforms (AWS/Azure/GCP), Data Science tools (Sagemaker/AzureML/Vertex/Dataiku/DataRobot/H2O/Jupyter), ML libraries (Pandas/PyTorch/TensorFlow/SciKit-Learn)
Preferred skills
Generative AI, Vector Databases, Databricks/PySpark, ETL tools, Enterprise software experience, Vertical expertise (FSI/Retail/Manufacturing)
Technologies
Snowflake, AWS, Azure, GCP, Sagemaker, AzureML, Vertex, Dataiku, DataRobot, H2O, Jupyter, PyTorch, TensorFlow, SciKit-Learn, Pandas, Databricks, PySpark
Responsibilities
Build and deploy ML pipelines using Snowflake features and partner tools; Create POCs with SQL, Python, and APIs for GenAI/ML workloads; Collaborate with System Integrators to deploy Snowflake in customer environments; Guide customers on resolving technical challenges; Support team members in developing expertise; Collaborate with Product, Engineering, and Marketing to improve products.
Seniority
Senior, hands-on IC