Senior Solution Innovation Architect - AI/ML

Snowflake

97d

About The Position

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. We are looking for a Senior 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, hands-on development, machine learning engineering, and strategic/advisory work, whilst working closely with customer teams.

Requirements

• Minimum of 5 years in an ML role where you will have built and deployed ML models into production.
• MLOps experience on a major ML platform (e.g., Databricks, SageMaker): built shared pipelines/templates for teams and deployed/operated production models with monitoring and alerts; wrote unit/integration tests and used Git/CI.
• Hands-on scripting experience with Python, with experience using libraries such as Pandas, HuggingFace, XGBoost, PyTorch, TensorFlow, SciKit-Learn or similar.
• 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.

Nice To Haves

• Experience working in a customer facing technical delivery role.
• 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.
• Experience with Databricks/Apache Spark.
• Experience implementing data pipelines using ETL tools.
• Vertical expertise in a core vertical such as FSI, Retail, Manufacturing etc.

Responsibilities

• Design, architect, and build 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.

What This Job Offers

• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees