Principal AI/ML Architect, Applied Field Engineering
Company: Snowflake, Inc
Location: Washington
Posted on: June 2, 2025
Job Description:
Build the future of the AI Data Cloud. 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:
- 8+ 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 (e.g. AWS, Microsoft Azure,
GCP, etc.)
- 1+ years of practical Snowflake experience.
- Knowledge of and experience with large-scale database
technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum,
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?Every Snowflake employee is
expected to follow the company's confidentiality and security
standards for handling sensitive data. Snowflake employees must
abide by the company's data security plan as an essential part of
their duties. It is every employee's duty to keep customer
information secure and confidential.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: The following represents the expected range of
compensation for this role:
- The estimated base salary range for this role is $191,000 -
$273,000.
- Additionally, this role is eligible to participate in
Snowflake's bonus and equity plan.The successful candidate's
starting salary will be determined based on permissible,
non-discriminatory factors such as skills, experience, and
geographic location. This role is also eligible for a competitive
package that includes: medical, dental, vision, life, and
disability insurance; 401(k) retirement plan; flexible spending &
health savings account; at least 12 paid holidays; paid time off;
parental leave; employee assistance program; and other company
benefits.
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Keywords: Snowflake, Inc, Tuckahoe , Principal AI/ML Architect, Applied Field Engineering, Engineering , Washington, Virginia
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