Solution Innovation Architect - AI/ML

Snowflake; New York (NY); On-site; USD 136,000 - 202,000; Full time

Job summary

A leading company is seeking a Solution Innovation Architect - AI/ML to join their team. This role involves designing and building AI/ML solutions, working closely with customers to implement data science use-cases. The ideal candidate will have extensive experience in AI/ML, strong technical skills, and the ability to present complex concepts to diverse audiences. Join a fast-growing team and make an impact in the AI Data Cloud space.

Benefits

Medical Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Paid Time Off

Parental Leave

Employee Assistance Program

Qualifications

• Minimum of 5 years in an AI and ML role.
• Experience with GenerativeAI, LLMs, and Vector Databases.
• Strong skills presenting to technical and executive audiences.

Responsibilities

• Design and build AI/ML solutions using the Snowflake platform.
• Support workshop sessions with customer stakeholders.
• Provide technical expertise on AI/ML features.

Skills

Data Cleansing

Feature Engineering

MLOps

Python

GenerativeAI

Large Language Models

Education

University degree in data science

Tools

Pandas

HuggingFace

XGBoost

PyTorch

TensorFlow

SciKit-Learn

Job description

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

Solution Innovation Architect - AI/ML

Summary

We are looking for an Solution Innovation Architect to join our Solution Innovation team, focused on supporting strategic field projects and building ML and AI solutions using our suite of features such as Snowflake Cortex, Snowflake ML, and Snowpark Container Services.

Based in the Sales Engineering organization, you will be working with strategic customers using Snowflake to expand their use of the Snowflake Data Cloud to bring data science use-cases from ideation to deployment. The role will be a combination of solution design, hand-ons development, machine learning engineering, and strategic/advisory work, whilst working closely with customer teams.

AS A SOLUTION INNOVATION ARCHITECT - AI/ML, YOU WILL:

• Design, architect, and build AI/ML Solutions using the Snowflake platform.
• Support workshop and design thinking sessions, to deliver discovery sessions with customer stakeholders to specify advanced use-cases and solutions.
• Work closely with Data Scientists, Machine Learning Engineers, and AI Engineers to understand the requirements of proposed solutions and applications.
• Design, train and build AI/ML models for use within customer solutions and use-cases.
• Provide technical expertise and enablement on all aspects of Snowflake in relation to the AI/ML suite of features to customer teams as part of solution development/delivery.
• Stay up to date with the latest advancements in AI/ML.
• Provide thought leadership on AI/ML in Snowflake through external content such as webinars, event presentations, and blog posts.
  
  
  

OUR IDEAL SOLUTION INNOVATION ARCHITECT - AI/ML WILL HAVE:

• Minimum of 5 years in an AI and ML role, where you will have built and deployed at least 1 ML model into production.
• Minimum of 5 years experience working in a customer facing technical delivery role.
• Have a strong understanding of the model life-cycle; model development, model training, and MLOps/observability.
• Experience with GenerativeAI, LLMs, and Vector Databases.
• Have a strong understanding of the GenerativeAI landscape, its use, and application.
• Have a strong understanding of Large Language Models (LLMs), and the different architectures that are appropriate for each use-case.
• Strong understanding of MLOps, coupled with technologies and methodologies for deploying and monitoring models.
• Hands-on scripting experience with Python, with experience using libraries such as Pandas, HuggingFace, XGBoost, PyTorch, TensorFlow, SciKit-Learn or similar.
• Have the following AI and ML Engineering skills:
• Data Cleansing
• Work with large datasets, and perform data quality evaluation/checks
• Feature engineering
• Determine relevant features for training and evaluation
• Optimization of model performance/accuracy
• MLOps and lifecycle management
• Strong skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
• University degree in data science, mathematics or related fields, or equivalent experience
  
  

BONUS POINTS FOR HAVING:

• Experience with Databricks/Apache Spark
• Experience implementing data pipelines using ETL tools
• Vertical expertise in a core vertical such as FSI, Retail, Manufacturing 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:

• The estimated base salary range for this role is $136,000 - $201,200.
• 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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