Build the future of the AI Data Cloud. Join the Snowflake team.
Solution Innovation Architect - AI/MLSUMMARYWe are looking for an Solution Innovation Architect to join our Solution Innovation team, focused on supporting strategic field projects and building ML and AI solutions using our suite of features such as Snowflake Cortex, Snowflake ML, and Snowpark Container Services.
Based in the Sales Engineering organization, you will be working with strategic customers using Snowflake to expand their use of the Snowflake Data Cloud to bring data science use-cases from ideation to deployment. The role will be a combination of solution design, hand-ons development, machine learning engineering, and strategic/advisory work, whilst working closely with customer teams.
AS A SOLUTION INNOVATION ARCHITECT - AI/ML, YOU WILL:Design, architect, and build AI/ML Solutions using the Snowflake platform.
Support workshop and design thinking sessions, to deliver discovery sessions with customer stakeholders to specify advanced use-cases and solutions.
Work closely with Data Scientists, Machine Learning Engineers, and AI Engineers to understand the requirements of proposed solutions and applications.
Design, train and build AI/ML models for use within customer solutions and use-cases.
Provide technical expertise and enablement on all aspects of Snowflake in relation to the AI/ML suite of features to customer teams as part of solution development/delivery.
Stay up to date with the latest advancements in AI/ML.
Provide thought leadership on AI/ML in Snowflake through external content such as webinars, event presentations, and blog posts.
Minimum of 5 years in an AI and ML role, where you will have built and deployed at least 1 ML model into production.
Minimum of 5 years experience working in a customer facing technical delivery role.
Have a strong understanding of the model life-cycle; model development, model training, and MLOps/observability.
Experience with GenerativeAI, LLMs, and Vector Databases.
Have a strong understanding of the GenerativeAI landscape, its use, and application.
Have a strong understanding of Large Language Models (LLMs), and the different architectures that are appropriate for each use-case.
Strong understanding of MLOps, coupled with technologies and methodologies for deploying and monitoring models.
Hands-on scripting experience with Python, with experience using libraries such as Pandas, HuggingFace, XGBoost, PyTorch, TensorFlow, SciKit-Learn or similar.
Have the following AI and ML Engineering skills:
Data Cleansing
Work with large datasets, and perform data quality evaluation/checks
Feature engineering
Determine relevant features for training and evaluation
Optimization of model performance/accuracy
MLOps and lifecycle management
Strong skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
University degree in data science, mathematics or related fields, or equivalent experience
Experience with Databricks/Apache Spark
Experience implementing data pipelines using ETL tools
Vertical expertise in a core vertical such as FSI, Retail, Manufacturing etc.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
