AI/ML Architect
BambooHRSalary not specified
- Full Time
- Senior (5 to 8 years)
$163,000 – $232,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Cloud Computing, Artificial Intelligence, Data & AnalyticsIndustries
Requirements
Candidates should possess 8+ years of experience building and deploying machine learning and generative AI solutions in the cloud, along with familiarity with generative AI techniques like RAG, few-shot learning, prompt engineering, or fine-tuning. They require deep knowledge of Python and common ML packages such as LangChain, pandas, sklearn, and PyTorch, alongside data engineering tools like dbt, Airflow, and Spark. A Bachelor’s degree is required, with a Master’s degree in computer science, engineering, mathematics, or a related field being preferred.
Responsibilities
The Principal AI/ML Architect will serve as the technical expert, positioning Snowflake’s AI and ML features and value to technical stakeholders and data scientists at Snowflake’s customers across the Americas. They will partner with Snowflake account teams and customer champions to drive POCs to success, deliver executive readouts, and create business value cases. This role involves collaborating with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback, publishing content to scale beyond individual efforts, and influencing the creation of Sales Engineering AI and ML selling assets, including customer presentations and demonstrations.
Skills
Machine Learning
Generative AI
Prompt Engineering
Fine-tuning
Python
LangChain
AI Solutions
Cloud Deployment
Data Science
Technical Communication
Snowflake
Data management and analytics platform
About Snowflake
Snowflake provides a platform called the AI Data Cloud that helps organizations manage and analyze their data. This platform allows users to store and process large amounts of data efficiently, offering services like data warehousing, data lakes, data engineering, data science, and data sharing. Snowflake's system works by uniting data from different sources, enabling secure sharing and performing various types of analytics. What sets Snowflake apart from its competitors is its ability to operate seamlessly across multiple public clouds, allowing users to access their data from anywhere. The company's goal is to help businesses leverage their data for better decision-making by providing a flexible subscription-based service that scales according to their needs.
Bellevue, WashingtonHeadquarters
2012Year Founded
$1,341.3MTotal Funding
IPOCompany Stage
Data & Analytics, Enterprise Software, AI & Machine LearningIndustries
5,001-10,000Employees