Solution Innovation Architect - AI/ML

Salary: $163K - $232K Location Type: Remote Employment Type: Full-Time

Position Overview

We are seeking a talented AI/ML and Cloud Architecture specialist to join our Solution Innovation team. This role is dedicated to leading, curating, and maintaining critical demos for Snowflake SE and Product organizations. You’ll be instrumental in evolving flagship demos and creating custom demonstrations using our suite of features like Snowpark ML, Snowflake Cortex, and Snowpark Container Services.

Based in the Sales Engineering organization, you will collaborate with internal teams, including Product, Sales, and the FCTO organizations, to ensure the timely release of cutting-edge features. This role combines demo design, hands-on development, machine learning engineering, and strategic advisory work. Staying current with the rapid pace of change in the AI/ML landscape is crucial to effectively leverage new advancements.

Responsibilities

• Design and build AI/ML Demos using the Snowflake platform.
• Collaborate closely with the Product team to align demo creation with product releases, ensuring timely delivery of functional demos that showcase new features.
• Provide technical expertise on all aspects of Snowflake in relation to the AI/ML suite of features to sales engineering teams.
• Have a strong understanding of the data science modeling lifecycle, including model development, model training, and MLOps.
• Have a strong understanding of the Generative AI 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.
• Stay up to date with the latest advancements in AI/ML.
• Provide thought leadership through external content such as webinars, event presentations, and blog posts.

AI and ML Engineering Skills:

• 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.

Requirements

• Minimum of 8 years in a Data Science role, where you will have built and deployed at least 2 models into production.
• Minimum of 10 years experience working with customers in a pre-sales or post-sales technical role.
• Thorough understanding of the complete Data Science life-cycle including feature engineering, model development, model deployment, and model management.
• 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, XGBoost, PyTorch, TensorFlow, SciKit-Learn or similar.
• Outstanding 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.

Bonus Points For:

• Experience with Generative AI, LLMs, and Vector Databases.
• Experience with Databricks/Apache Spark.
• Experience implementing data pipelines using ETL tools.
• Vertical expertise in a core vertical such as FSI, Retail, Manufacturing etc.

About Snowflake

Snowflake is growing fast and we’re scaling our team to help enable and accelerate our growth. We’re passionate about our people, our customers, our values, and our culture! We’re also looking for people with a growth mindset and the pragmatic insight to solve for today while building for the future. And as a Snowflake employee, you will be accountable for supporting and enabling diversity and belonging.

Snowflake started with a clear vision: make modern data warehousing effective, affordable, and accessible to all data users. Because traditional on-premises and cloud solutions struggle with this, Snowflake developed an innovative product with a new built-for-the-cloud architecture.