Applied AI Engineer at Snowflake: Shape the Future of AI

Snowflake is revolutionizing how enterprises leverage data, and our Applied AI Engineer role puts you at the forefront of this transformation. Join our Cortex AI team in Menlo Park, CA, and become a critical player in helping the world's most innovative companies unlock the power of Artificial Intelligence. This role is more than just a job; it's an opportunity to build the future of AI in the enterprise.

Role Overview

As an Applied AI Engineer, you will be a hands-on builder, working directly with our strategic customers to deploy production-grade AI systems using Snowpark, Cortex, and our native LLM capabilities. You will own the end-to-end lifecycle of AI solutions, from prototype to production, and serve as a trusted technical advisor to our clients. This position sits at the intersection of product, engineering, and customer success, providing a unique opportunity to influence the direction of Snowflake's AI platform.

A Day in the Life

Your day-to-day activities might include:

• Meeting with customer data science and engineering teams to understand their business challenges.
• Architecting and building AI solutions, including sophisticated AI agents, to address those challenges.
• Writing Python and SQL code to implement scalable and performant AI pipelines.
• Deploying and monitoring AI models in secure, large-scale production environments.
• Collaborating with Snowflake's Product and Engineering teams to share customer feedback and influence the future of the AI platform.
• Conducting research and experimentation with new AI technologies.
• Presenting technical solutions to both technical and non-technical audiences.
• Troubleshooting and resolving technical issues related to AI deployments.
• Optimizing AI models for performance and cost-effectiveness.
• Documenting AI solutions and best practices.

Why Menlo Park, CA?

Menlo Park is at the heart of Silicon Valley, offering a vibrant ecosystem of innovation and technology. Being located here provides numerous benefits:

• Access to Top Talent: Menlo Park attracts some of the brightest minds in the world, giving you the opportunity to work alongside and learn from the best.
• Networking Opportunities: The area is a hub for tech events, conferences, and meetups, providing ample opportunities to network with industry leaders.
• Innovation Ecosystem: Menlo Park is home to numerous startups, venture capital firms, and research institutions, fostering a culture of innovation and entrepreneurship.
• Quality of Life: Despite being a tech hub, Menlo Park offers a high quality of life with access to beautiful parks, outdoor activities, and excellent schools.
• Proximity to Snowflake HQ: Easy access to Snowflake's headquarters facilitates collaboration and communication with other teams.

Career Path

This role provides a strong foundation for career growth within Snowflake. Potential career paths include:

• Senior Applied AI Engineer: Lead more complex AI projects and mentor junior engineers.
• AI Solutions Architect: Focus on designing and architecting AI solutions for customers.
• AI Product Manager: Drive the strategy and roadmap for Snowflake's AI platform.
• AI Engineering Manager: Lead a team of AI engineers and oversee the development of AI solutions.
• Principal AI Engineer: Provide technical leadership and guidance on AI initiatives across the company.

Salary & Benefits

Snowflake offers a competitive salary and benefits package, including:

• Salary: The estimated salary range for this position is $140,000 - $220,000 per year. The actual salary will be determined based on your skills, experience, and location.
• Health Insurance: Comprehensive medical, dental, and vision insurance plans.
• Paid Time Off: Generous paid time off policy, including vacation, sick leave, and holidays.
• Employee Stock Options: Opportunity to participate in Snowflake's employee stock option plan.
• Retirement Plan: 401(k) retirement plan with company match.
• Other Benefits: Additional benefits may include commuter benefits, wellness programs, and employee discounts.

Innovation Culture

Snowflake fosters a culture of innovation, collaboration, and impact. Here are some of the ways we encourage innovation:

• Hackathons: Regular hackathons provide opportunities for employees to work on innovative projects and explore new technologies.
• Innovation Challenges: We encourage employees to submit ideas for new products and features through internal innovation challenges.
• Research and Development: We invest heavily in research and development to stay at the forefront of AI technology.
• Open Source Contributions: We encourage employees to contribute to open source projects and share their knowledge with the community.
• Learning and Development: We provide opportunities for employees to learn new skills and technologies through training programs, conferences, and online courses.

How to Apply

To apply for the Applied AI Engineer position, please submit your resume and cover letter through the Snowflake careers website. Be sure to highlight your experience with software engineering, machine learning, and cloud computing. We are looking for candidates who are passionate about AI and have a strong desire to make a difference.

Frequently Asked Questions (FAQ)

1. What is Snowflake? Snowflake is a cloud-based data warehousing platform that enables organizations to store, process, and analyze large volumes of data.
2. What is Snowpark? Snowpark is a feature of Snowflake that allows developers to write code in languages like Python and Scala and execute it directly within the Snowflake environment.
3. What is Cortex AI? Cortex AI is Snowflake's platform for building and deploying AI and machine learning applications.
4. What are LLMs? LLMs stands for Large Language Models, which are powerful AI models that can generate text, translate languages, and answer questions.
5. What is RAG? RAG stands for Retrieval-Augmented Generation, which is a technique for improving the accuracy and relevance of LLM-generated text.
6. What are AI agents? AI agents are autonomous systems that can perform tasks on behalf of users.
7. What skills are required for this role? The required skills include software engineering, machine learning, data science, Python, SQL, and cloud computing.
8. What are the preferred qualifications for this role? The preferred qualifications include experience with LLMs, RAG, MLOps, and customer-facing roles.
9. What is the interview process like? The interview process typically involves a phone screening, a technical interview, and a final interview with the hiring manager.
10. What is the work culture like at Snowflake? Snowflake has a collaborative and innovative work culture with a focus on impact and customer success.