[Remote] Solution Innovation Architect - AI/ML at Snowflake

Chester, Maryland, United States

Apply Now

$140,000 – $183,700Compensation

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

Full TimeJob Type

UnknownVisa

Technology, AI/MLIndustries

Requirements

Minimum of 4 years in a Data Science role, with at least 2 models built and deployed into production
Minimum of 5 years experience working with customers in a pre-sales or post-sales technical role
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
Hands-on scripting experience with Python, with experience using libraries such as Pandas, XGBoost, PyTorch, TensorFlow, SciKit-Learn or similar
Outstanding 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
Strong understanding of the data science modeling lifecycle, including model development, model training, and MLOps
Strong understanding of the GenerativeAI landscape, its use, and application
Strong understanding of Large Language Models (LLMs), and the different architectures that are appropriate for each use case

Responsibilities

Design and build AI/ML Demos using the Snowflake platform
Collaborate closely with the Product team to align demo creation with product releases, ensuring timely delivery of functional demos that showcase new features
Provide technical expertise on all aspects of Snowflake in relation to the AI/ML suite of features to sales engineering teams
Stay up to date with the latest advancements in AI/ML
Provide thought leadership through external content such as webinars, event presentations, and blog posts
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
Lead, curate and maintain critical demos for Snowflake SE and Product organizations
Evolve flagship demos and create custom demonstrations using features like Snowpark ML, Snowflake Cortex, and Snowpark Container Services
Collaborate with internal teams, including Product, Sales and the FCTO organizations, to ensure the timely release of cutting-edge features

Skills

Key technologies and capabilities for this role

AI/MLSnowpark MLSnowflake CortexSnowpark Container ServicesMLOpsGenerative AILarge Language ModelsLLMsdata science modelingmodel developmentmodel trainingcloud architecture

Questions & Answers

Common questions about this position

What is the salary range for the Solution Innovation Architect role?

The salary range is $140K - $183.7K.

Is this position remote?

Yes, this is a remote position.

What key skills are required for this role?

Required skills include strong understanding of the data science modeling lifecycle, Generative AI and LLMs, MLOps, hands-on Python scripting with libraries like Pandas, XGBoost, PyTorch, TensorFlow, and SciKit-Learn, plus experience with feature engineering, model optimization, and working with large datasets.

What is the company culture like at Snowflake?

Snowflake has a culture focused on impact, innovation, and collaboration, empowering enterprises and people to achieve their full potential while building big, moving fast, and advancing technology and careers.

What experience makes an ideal candidate for this position?

An ideal candidate has a minimum of 4 years in a Data Science role with at least 2 models deployed to production, 5 years in pre-sales or post-sales technical roles with customers, and thorough understanding of the Data Science lifecycle, MLOps, feature engineering, model development, deployment, and management.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free