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Senior AI/ML Architect, Applied Field Engineering

Snowflake Inc.

Clyde Hill, WA

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JOB DETAILS
JOB TYPE
Full-time, Employee
SKILLS
Amazon Web Services (AWS), Artificial Intelligence (AI), Blog, Business Case, Cloud Computing, Computer Science, Conferences, Cross-Functional, Customer Acquisition, Customer/Client Research, Data Science, Database Technology, Ecosystems, GCP (Good Clinical Practices), Machine Learning, Mathematics, Microsoft Windows Azure, NCR Teradata, Online Chat, Operational Support Systems (OSS), Presentation/Verbal Skills, Product Demonstration, Product Engineering, Python Programming/Scripting Language, Sales, Sales Presentation, Sales/Support Engineering (SE), Snowflake Schema, Use Cases
LOCATION
Clyde Hill, WA
POSTED
30+ days ago
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.

Our Solution 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, or other OSS packages.

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?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

The following represents the expected range of compensation for this role:
This role is eligible to participate in Snowflake's commission plan and it is common for employees in this role to receive total on-target earnings of $220,000 - $288,750. The estimated base salary for this role is $165,000 - $216,562.
Additionally, this role is eligible to participate in Snowflake's 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 benefits 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.

To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.

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.

About the Company

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Snowflake Inc.