[Remote] Senior Solution Innovation Architect - AI/ML at Snowflake

Candidates must have a minimum of 5 years of experience in an ML role, with a proven track record of building and deploying ML models into production. MLOps experience on a major ML platform, including building shared pipelines, deploying production models with monitoring, and writing tests with Git/CI, is required. Strong hands-on scripting experience with Python and familiarity with libraries such as Pandas, HuggingFace, XGBoost, PyTorch, TensorFlow, or SciKit-Learn are essential. The ideal candidate will possess AI and ML engineering skills in data cleansing, feature engineering, model performance optimization, and MLOps lifecycle management, along with strong presentation skills for both technical and executive audiences. A university degree in data science, mathematics, or a related field, or equivalent experience, is necessary. Bonus points are awarded for experience in a customer-facing technical delivery role, Generative AI, LLMs, Vector Databases, Databricks/Apache Spark, ETL tools, and vertical expertise.