Specialty Sales Architect - AI/ML

Snowflake; California (MO); On-site; USD 158,000 - 221,000; Full time

Job summary

Join a leading company as a Solutions Architect for AI/ML, where you will leverage your expertise in data science and cloud architecture to advise clients on best practices and implement innovative solutions using Snowflake's powerful capabilities. This role involves designing solutions, collaborating with teams, and enhancing customer experiences. If you have a passion for data science and a strong technical background, this is your opportunity to make a significant impact in a rapidly growing field.

Benefits

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) retirement plan

Flexible spending account

Health savings account

Paid holidays

Parental leave

Qualifications

• Minimum 5 years experience in a technical role.
• Outstanding presentation skills to technical and executive audiences.
• Thorough understanding of Data Science life-cycle.

Responsibilities

• Be a technical expert on all aspects of Snowflake for AI/ML workloads.
• Provide best practices for Data Science workloads on Snowflake.
• Build and deploy ML pipelines using Snowflake features.

Skills

Data Science

Cloud Architecture

MLOps

SQL

Python

Java

Scala

Education

University degree in data science

University degree in computer science

University degree in engineering

University degree in mathematics

Tools

AWS Sagemaker

AzureML

Dataiku

Datarobot

H2O

Jupyter Notebooks

Pandas

PyTorch

TensorFlow

SciKit-Learn

Job description

Build the future of the AI Data Cloud. Join the Snowflake team.

We are looking for people who have a strong background in data science and cloud architecture to join our Professional Services team to help create exciting new offerings and capabilities for our customers! This team will be working with customers using Snowflake to expand their use of the Snowflake Data Cloud to bring data science pipelines from ideation to deployment, and beyond using Snowflake's features and its extensive partner ecosystem. The role will be more strategic, advising our clients on best practices and advice to implement Data Science workloads on Snowflake. You will be designing solutions based on requirements and coordinating with customer teams, and where needed Systems Integrators, while maintaining oversight and direction to ensure successful outcomes

AS A SOLUTIONS ARCHITECT - AI/ML AT SNOWFLAKE, YOU WILL:

• Be a technical expert on all aspects of Snowflake in relation to the AI/ML workload.

• Provide customers with best practices and advise as it relates to Data Science workloads on Snowflake

• Build, deploy and ML pipelines using Snowflake features and/or Snowflake ecosystem partner tools based on customer requirements.

• Work hands-on where needed using SQL, Python, Java and/or Scala to build POCs that demonstrate implementation techniques and best practices on Snowflake technology within the Data Science workload.

• Follow best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own

• Maintain deep understanding of competitive and complementary technologies and vendors within the AI/ML space, and how to position Snowflake in relation to them

• Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments

• Provide guidance on how to resolve customer-specific technical challenges.

• Support other members of the Professional Services team develop their expertise.

• Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake's products and marketing.

OUR IDEAL SOLUTION ARCHITECT - AI/ML WILL HAVE:

• Minimum 5 years experience working with customers in a pre-sales or post-sales technical role.

• Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos

• Thorough understanding of the complete Data Science life-cycle including feature engineering, model development, model deployment and model management.

• Strong understanding of MLOps, coupled with technologies and methodologies for deploying and monitoring models.

• Experience and understanding of at least one public cloud platform (AWS, Azure or GCP)

• Experience with at least one Data Science tool such as AWS Sagemaker, AzureML, Dataiku, Datarobot, H2O, and Jupyter Notebooks,

• Hands-on scripting experience with SQL and at least one of the following; Python, Java or Scala.

• Experience with libraries such as Pandas, PyTorch, TensorFlow, SciKit-Learn or similar.

• University degree in data science, computer science, engineering, mathematics or related fields, or equivalent experience

BONUS POINTS FOR HAVING:

• Experience with GenerativeAI, LLMs and Vector Databases,

• Experience with Databricks/Apache Spark

• Experience implementing data pipelines using ETL tools

• Experience working in a Data Science role

• Proven success at enterprise software

• Vertical expertise in a core vertical such as FSI, Retail, Manufacturing etc.

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 $158,000 - $220,500.
• 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.