Senior AI/ML Architect, Applied Field Engineering
Provide hands-on AI/ML expertise to technical decision makers and data scientists, architecting solutions on the Snowflake AI Data Cloud while driving POCs and influencing product roadmaps.
About the job
Responsibilities
- Be the technical expert positioning Snowflake’s AI and ML features and value to technical stakeholders at customers across the Americas
- Partner with account teams and customer champions to scope and drive POCs to success and technical wins, including executive readouts and business value cases
- Collaborate with product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback
- Publish content such as blog posts, conference presentations, notebooks, and demos to scale team efforts
- Influence, tailor, and maintain Sales Engineering AI and ML selling assets including presentations, demonstrations, and customer stories
Requirements
- 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud
- Familiarity with generative AI techniques like RAG, few-shot learning, prompt engineering, or fine-tuning for enterprise use cases
- Deep knowledge of Python and common ML packages (LangChain, pandas, sklearn, PyTorch)
- Experience with data engineering tools and technologies (dbt, Airflow, Spark)
- Strong presentation skills for both technical and executive audiences
- Bachelor’s Degree required; Master’s Degree in computer science, engineering, mathematics or related fields preferred
Nice-to-Haves
- Working knowledge of LLM ecosystem tools (LangChain, LlamaIndex, or other OSS packages)
- Experience with large-scale IaaS platforms (AWS, Microsoft Azure, GCP)
- 1+ years of practical Snowflake experience
- Knowledge of large-scale database technologies (Snowflake, Netezza, Exadata, Teradata, Greenplum)
Skills
Python, LangChain, pandas, scikit-learn, PyTorch, RAG, dbt, Apache Airflow, Spark, AWS, Azure, GCP
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