Senior Solution Innovation Architect - AI/ML

United States

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$155,600 – $216,600Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Data Cloud, Cloud Computing, Artificial Intelligence, AI & Machine LearningIndustries

Requirements

Candidates must have a minimum of 5 years of experience in an ML role, with a proven track record of building and deploying ML models into production. MLOps experience on a major ML platform, including building shared pipelines, deploying production models with monitoring, and writing tests with Git/CI, is required. Strong hands-on scripting experience with Python and familiarity with libraries such as Pandas, HuggingFace, XGBoost, PyTorch, TensorFlow, or SciKit-Learn are essential. The ideal candidate will possess AI and ML engineering skills in data cleansing, feature engineering, model performance optimization, and MLOps lifecycle management, along with strong presentation skills for both technical and executive audiences. A university degree in data science, mathematics, or a related field, or equivalent experience, is necessary. Bonus points are awarded for experience in a customer-facing technical delivery role, Generative AI, LLMs, Vector Databases, Databricks/Apache Spark, ETL tools, and vertical expertise.

Responsibilities

The Senior Solution Innovation Architect will design, architect, and build ML solutions utilizing the Snowflake platform, including features like Snowflake Cortex, ML, and Snowpark Container Services. They will support workshops and design thinking sessions to identify advanced use-cases and solutions with customer stakeholders. This role involves close collaboration with Data Scientists, Machine Learning Engineers, and AI Engineers to understand solution requirements, and the design, training, and building of AI/ML models for customer applications. The architect will provide technical expertise and enablement on Snowflake's AI/ML features to customer teams during solution development and delivery. Additionally, they are expected to stay current with AI/ML advancements and provide thought leadership through external content such as webinars, event presentations, and blog posts. The role also requires adherence to Snowflake's confidentiality and security standards for handling sensitive data.

Skills

Snowflake Cortex

Snowflake ML

Snowpark Container Services

Solution Design

Machine Learning Engineering

Data Science

MLOps

Databricks

SageMaker

Model Deployment

Monitoring

Alerts

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

Benefits

We've got your back - We offer comprehensive health insurance plans, health savings accounts, robust retirement plans, and generous life and disability insurance.

A Balanced Lifestyle - All Snowflakes have access to our weekly online lunch and learns, virtual workout classes, and ergonomic work-from-home equipment. We offer on-demand mental health and wellness programs to support our employees and their families.

Your People Matter - Help offset the cost of growing your family with our fertility benefits and family planning resources. Count on our generous time-off and various leave plans for you to rest, refuel, and sustain a great work-life balance.

Global Snowflake Team - No matter where you are in the world, we will get you connected and supported with a work-from-home setup.

Treat Yourself - Personalize your Snowflake benefits by tapping into our employee discounts and pre-tax selections.

Invest In Your Future - Eligible employees enjoy new hire equity, Employee Stock Purchase Plan (ESPP), and a quarterly bonus or commission program.

Risks

Integration challenges from Datavolo acquisition may disrupt operations and customer service.

Increased competition from Mistral AI could challenge Snowflake's market position.

Convertible senior notes pricing may increase financial pressure if market conditions worsen.

Differentiation

Snowflake offers a unified platform for diverse data workloads, unlike traditional solutions.

The AI Data Cloud enables near-unlimited scale and performance for data mobilization.

Snowflake's seamless multi-cloud experience ensures efficient data operations across locations.

Upsides

Acquisition of Datavolo enhances Snowflake's open data integration capabilities.

Investment in Metaplane boosts AI-driven data quality solutions for Snowflake users.

Snowflake Ventures' investment in Hex expands accessibility of data tools to non-technical users.

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