JOB REQUIREMENTS: Where Data Does More. Join the Snowflake team. Build
the future of the AI Data Cloud. Join the Snowflake team. Our Sales
Engineering organization is seeking an AI Specialist who can provide
hands-on expertise and support while working with technical decision
makers and data scientists to design and architect AI solutions built on
the Snowflake AI Data Cloud. This is a strategic role that works closely
with cross-functional teams, including product, engineering, and the
broader field organization to ensure successful execution and customer
adoption of Snowflake\'s AI & ML solutions. IN THIS ROLE YOU WILL GET
TO: Be the technical expert in the room that positions Snowflake\'s AI
and ML features and value to technical stakeholders at Snowflake\'s
customers across the Americas. Partner with Snowflake account team teams
and customer champions to scope and drive POCs to success and technical
wins that prove the value of Snowflake\'s capabilities, including
executive readouts and business value cases. Collaborate with
Snowflake\'s product and engineering teams to influence Snowflake\'s AI
and ML roadmaps based on customer feedback. Publish content that helps
the team and company scale beyond your individual efforts, like blog
posts, presentations at conferences, or technical collateral like
notebooks and demos. Influence, tailor and maintain Sales Engineering AI
and ML selling assets, including customer presentations, demonstrations,
and customer stories. ON DAY ONE, WE WILL EXPECT YOU TO HAVE: 5+ years
of experience building and deploying machine learning and generative AI
solutions in the cloud. Familiarity and associated knowledge of
generative AI techniques like RAG, few shot learning, prompt
engineering, or fine-tuning that are used to operationalize enterprise
AI use cases like interactive chat applications or text processing. Deep
knowledge of Python and common ML packages (such as LangChain, pandas,
sklearn, and PyTorch) as well as data engineering tools and technologies
like dbt, Airflow, and Spark. Strong presentation skills to both
technical and executive audiences, whether whiteboarding sessions or
formal readouts and demos. Bachelor\'s Degree required, Masters Degree
in computer science, engineering, mathematics or related fields, or
equivalent experience preferred. BONUS POINTS FOR EXPERIENCE WITH THE
FOLLOWING: Working knowledge of tools in the LLM ecosystem such as
LangChain, LlamaIndex, and NeMo-Guard. Experience and understanding of
large-scale infrastructure-as-a-service platforms\... For full info
follow application link. Snowflake is an equal opportunity employer. All
qualified applicants will receive consideration for employment without
regard to age, color, gender identity or expression, marital status,
national origin, disability, protected veteran status, race, religion,
pregnancy, sexual orientation, or any other characteristic protected by
applicable laws, regulations and ordinances. \*\*\*\*\* APPLICATION
INSTRUCTIONS: Apply Online: ipc.us/t/BF35EAE7FE5D48B3
the future of the AI Data Cloud. Join the Snowflake team. Our Sales
Engineering organization is seeking an AI Specialist who can provide
hands-on expertise and support while working with technical decision
makers and data scientists to design and architect AI solutions built on
the Snowflake AI Data Cloud. This is a strategic role that works closely
with cross-functional teams, including product, engineering, and the
broader field organization to ensure successful execution and customer
adoption of Snowflake\'s AI & ML solutions. IN THIS ROLE YOU WILL GET
TO: Be the technical expert in the room that positions Snowflake\'s AI
and ML features and value to technical stakeholders at Snowflake\'s
customers across the Americas. Partner with Snowflake account team teams
and customer champions to scope and drive POCs to success and technical
wins that prove the value of Snowflake\'s capabilities, including
executive readouts and business value cases. Collaborate with
Snowflake\'s product and engineering teams to influence Snowflake\'s AI
and ML roadmaps based on customer feedback. Publish content that helps
the team and company scale beyond your individual efforts, like blog
posts, presentations at conferences, or technical collateral like
notebooks and demos. Influence, tailor and maintain Sales Engineering AI
and ML selling assets, including customer presentations, demonstrations,
and customer stories. ON DAY ONE, WE WILL EXPECT YOU TO HAVE: 5+ years
of experience building and deploying machine learning and generative AI
solutions in the cloud. Familiarity and associated knowledge of
generative AI techniques like RAG, few shot learning, prompt
engineering, or fine-tuning that are used to operationalize enterprise
AI use cases like interactive chat applications or text processing. Deep
knowledge of Python and common ML packages (such as LangChain, pandas,
sklearn, and PyTorch) as well as data engineering tools and technologies
like dbt, Airflow, and Spark. Strong presentation skills to both
technical and executive audiences, whether whiteboarding sessions or
formal readouts and demos. Bachelor\'s Degree required, Masters Degree
in computer science, engineering, mathematics or related fields, or
equivalent experience preferred. BONUS POINTS FOR EXPERIENCE WITH THE
FOLLOWING: Working knowledge of tools in the LLM ecosystem such as
LangChain, LlamaIndex, and NeMo-Guard. Experience and understanding of
large-scale infrastructure-as-a-service platforms\... For full info
follow application link. Snowflake is an equal opportunity employer. All
qualified applicants will receive consideration for employment without
regard to age, color, gender identity or expression, marital status,
national origin, disability, protected veteran status, race, religion,
pregnancy, sexual orientation, or any other characteristic protected by
applicable laws, regulations and ordinances. \*\*\*\*\* APPLICATION
INSTRUCTIONS: Apply Online: ipc.us/t/BF35EAE7FE5D48B3
Job ID: 483128022
Originally Posted on: 6/28/2025