Principal Solutions Architect - AI/ML, Services Delivery
AI summary of the role
Principal-level role in Snowflake's Services Delivery team, architecting and delivering production AI/ML solutions on the Snowflake Data Cloud for enterprise customers.
What you’ll do
- Architect Snowflake-centric AI/ML solutions for customers, from ideation to production.
- Build POCs using SQL, Python, and Cortex AI to demonstrate best practices.
- Advise on scaling production-ready AI/ML workloads and ensure knowledge transfer.
- Maintain deep understanding of competitive AI/ML technologies and position Snowflake.
What you’ll bring
- Minimum 5 years in pre-sales or post-sales technical customer-facing role.
- Thorough understanding of generative AI and agent lifecycles (ingestion, embeddings, LLM selection, monitoring).
- Thorough understanding of complete ML lifecycle (feature engineering, model development, deployment, management).
- Hands-on scripting with SQL and Python, Java, or Scala.
Technologies
Snowflake · Cortex AI · SQL · Python · Java · Scala · Pandas · PyTorch · TensorFlow · Scikit-Learn · LangChain · LangGraph
About Snowflake
Cloud-native data platform letting enterprises run analytics, AI/ML, and apps on governed data across AWS, Azure, and GCP without moving it.
Public
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