Principal AI/ML Architect, Applied Field Engineering

Snowflake, Inc; Virginia (MN); Hybrid; USD 163,000 - 232,000; Full time

Job summary

Join a leading company as an AI Specialist within the Sales Engineering organization. You will leverage your extensive experience in building machine learning and generative AI solutions, collaborating with cross-functional teams to enhance Snowflake’s AI and ML offerings. This strategic role involves customer interaction and may shape the future of AI solutions in the data cloud sector.

Benefits

Medical, dental, vision insurance

401(k) retirement plan

Paid time off and holidays

Parental leave

Flexible spending & health savings account

Qualifications

• 8+ years experience in ML and generative AI solutions.
• Strong knowledge of Python and ML packages.
• Familiarity with generative AI techniques.

Responsibilities

• Serve as technical expert on AI and ML features for stakeholders.
• Drive successful POCs and technical wins.
• Collaborate with product and engineering teams to influence AI roadmaps.

Skills

Machine Learning

Generative AI

Python

Data Engineering

Presentation Skills

Education

Bachelor's Degree

Master's Degree in Computer Science or related fields

Tools

LangChain

pandas

sklearn

PyTorch

dbt

Job description

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:

• 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: careers.snowflake.com

The following represents the expected range of compensation for this role:

• The estimated base salary range for this role is $163,000 - $232,000.
• 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 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.