AI Solutions Architect

4 weeks ago

Los Angeles, California, United States Snowflake Computing Full time
Job Title: AI Solutions Architect

About the Role:
At Snowflake Computing, we're scaling our team to help enable and accelerate our growth. We're looking for an AI Solutions Architect to join our Sales Engineering organization. As an AI Solutions Architect, you will be responsible for providing hands-on expertise and support to our customers in the adoption of our AI and ML features. You will work closely with our sales teams to design and architect AI solutions that utilize Snowflake as an AI platform.

Key Responsibilities:
  • Work with our sales teams to support our customers in initial adoption of our AI and ML features in a hands-on capacity.
  • Be the technical expert in the room to present and position Snowflake's AI and ML features and value to technical stakeholders at Snowflake's customers.
  • Publish thought leadership content to advance Snowflake's strategic initiatives around AI.
  • Help enable and uplevel other sales engineers and solution architects in AI and ML.
  • Collaborate closely with product to influence Snowflake's roadmaps based on customer feedback.
  • Collaborate with the Global FCTO, sales and marketing teams on field effectiveness / competitiveness of sales campaigns and messaging.
  • Influence, tailor and maintain Sales Engineering AI / ML selling assets, including customer presentations, demonstrations and customer stories.

Requirements:
  • Minimum 5 years of experience working with customers in a pre-sales or post-sales technical role involving AI/ML.
  • Familiarity with cloud native ML and AI tools such as Sagemaker, AzureML, VertexAI.
  • Familiarity and associated knowledge of techniques working with OSS or closed source LLM's to build GenAI based solutions or interactive chat applications.
  • Familiarity with Python and popular third party packages.
  • Strong knowledge of data engineering tools and technologies.
  • Strong knowledge and experience working with SQL.
  • Working knowledge of data engineering strategies and associated tooling.
  • Working knowledge of deep learning concepts, techniques, and tools.
  • Strong presentation skills to both technical and executive audiences.
  • Bachelor's Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.

Preferred Qualifications:
  • Working knowledge of tools in the LLM ecosystem.
  • Experience and understanding of large-scale infrastructure-as-a-service platforms.
  • 1+ years of practical Snowflake experience.
  • Knowledge of and experience with large-scale database technology.

About Snowflake:
Snowflake is a cloud-based data warehousing platform that enables businesses to store, process, and analyze large amounts of data. We're growing fast and scaling our team to help enable and accelerate our growth. We're 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?

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