Senior AI/ML Architect, Applied Field Engineering/Field CTO

Role Overview We seek AI-native thinkers to reinvent how work gets done. You'll work with cross-functional teams to design and architect AI solutions built on the Snowflake AI Data Cloud. What You Will Do You'll be the technical expert in the room, positioning Snowflake 's AI and ML features to technical stakeholders, and collaborating with product and engineering teams to influence roadmaps. Why It Might Be a Fit You'll have the opportunity to work with a fast-growing company, challenge ordinary thinking, and push the pace of innovation. Requirements 10+ years of experience building and deploying machine learning and 3+ years of building and deploying Generative AI solutions in the cloud. Practitioner level hands-on experience on Machine Learning workload including MLOps, Feature Store, Model Deployment, Model Explainability and Observability Familiarity and associated knowledge of generative AI techniques like RAG, few shot learning, prompt engineering, or fine-tuning Deep knowledge of Python and common ML packages (such as LangChain, pandas, sklearn, and PyTorch) as well as data engineering tools and technologies like dbt, Airflow, and Spark. Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred. Benefits Salary and benefits information available on the Snowflake Careers Site Originally posted on Himalayas