Senior AI Applications Engineer, Collaboration at Snowflake

Menlo Park, California, United States

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$195,000 – $287,500Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

7+ years of industry experience designing, building, and supporting backend large-scale data processing systems in production
3+ years of experience in Artificial Intelligence (AI) and Machine Learning (ML) application engineering roles, with hands-on experience with LLM architecture and prompt engineering, focusing on building and deploying production-grade AI systems
Experience building and deploying AI solutions on major cloud platforms
Strong fundamental computer science skills
Strong knowledge of algorithms and data structures
Knowledge of databases and distributed systems
Fluency in Java and SQL
BS/MS/PhD in Computer Science or related majors, or equivalent experience
Excellent verbal and written communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders
Follow the company’s confidentiality and security standards for handling sensitive data and abide by the company’s data security plan

Responsibilities

Design, develop, and deploy core AI systems powering intelligent data matching, recommendation, and orchestration engine
Work with cutting-edge LLMs, graph databases, and advanced data processing techniques to transform complex metadata into actionable insights
Enable users to discover and leverage data through collaboration features

Skills

Key technologies and capabilities for this role

JavaSQLLLMsPrompt EngineeringGraph DatabasesDistributed SystemsAlgorithmsData StructuresCloud PlatformsMLOpsSnowflake

Questions & Answers

Common questions about this position

What is the salary range for the Senior AI Applications Engineer role?

The salary range is $195K - $287.5K.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What are the key required skills for this role?

Candidates need 7+ years designing and building large-scale backend data processing systems, 3+ years in AI/ML with LLM architecture and prompt engineering, experience with cloud platforms, strong computer science fundamentals including algorithms, data structures, databases, and distributed systems, plus fluency in Java and SQL.

What is Snowflake's company culture like?

Snowflake values people who share their principles, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and the company, in a fast-growing environment focused on data security and collaboration.

What makes a strong candidate for this position?

A strong candidate has 7+ years in large-scale data systems, 3+ years in AI/ML with LLMs, a BS/MS/PhD in Computer Science or equivalent, excellent communication skills, and bonus experience in recommendation systems, Snowflake ecosystem, or MLOps.

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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