Senior AI/ML Architect, Applied Field Engineering/Field CTO
Snowflake · SG-Singapore
Big Tech AIremotesenior
At a glance
Highlights
- Position Snowflake AI and ML value to technical stakeholders across APJ region.
- Drive POCs to technical wins with executive readouts and business value cases.
- Influence AI roadmaps with product teams while publishing blogs and demos.
Ideal candidate
AI-native, low-ego practitioner energized by customer impact and experimentation. You thrive in fast-moving field roles, translating AI value for executives and shaping roadmaps through customer feedback.
Requirements
- 10+ years building and deploying machine learning and 3+ years building Generative AI in the cloud
- Hands-on practitioner experience with MLOps, Feature Store, model deployment, explainability and observability
- Familiarity with RAG, few-shot learning, prompt engineering and fine-tuning for enterprise AI use cases
- Deep knowledge of Python and ML packages plus data engineering tools like dbt, Airflow and Spark
- Strong presentation skills to technical and executive audiences including whiteboarding and demos
- Bachelor's degree required, Master's in computer science, engineering, mathematics or related field preferred
Lab profile
About Snowflake
Cloud data platform for storage, analytics, data sharing, and enterprise AI workloads.
What they build
- Snowflake Data Cloud
- Data warehousing and data lakes
- Snowpark developer framework
Known for
- Elastic scalable cloud architecture
- Secure governance and data sharing
- Multi-cloud analytics and AI
Key facts
- Founded in 2012
- Headquartered in Bozeman, Montana
- Public company (NYSE: SNOW)
Posted · Last seen