20 hours ago

Staff AI Engineer

Snowflake

On Site
Full Time
$240,000
Menlo Park, CA

Job Overview

Job TitleStaff AI Engineer
Job TypeFull Time
Offered Salary$240,000
LocationMenlo Park, CA

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Job Description

Staff AI Engineer at Snowflake

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.

The Cortex Apps team is building the future of AI for enterprise data. See our flagship product in action: Talk To Your Data: Snowflake Intelligence Demo.

Your work will directly impact how businesses understand and leverage their data. You'll own the full AI engineering lifecycle: design, prompt/tool engineering, evals, deployment, measurement, and optimization. You'll work with a small, high-powered modeling and infrastructure team.

What you will do in this role:

  • Own features end-to-end for Snowflake Cortex products. Build agentic workflows, NL-to-SQL on semantic layers, search.
  • Build enterprise-grade context engineering: function calling, tool schemas, guardrails, semantic model-aware prompting for SQL, and verification/repair.
  • Design evals and hillclimb: create golden sets, create rubrics and metrics, analyze errors, run experiments to hill climb on the metrics.
  • Partner with product and infra: translate customer problems into products and experiments. Collaborate with infrastructure teams to productionize improvements.
  • Lead a team of engineers towards building great products.

Requirements:

  • Bachelor’s degree in Computer Science, Engineering, Statistics or a related field. Master’s or higher degree preferred but not a requirement.
  • 5+ years of experience shipping AI features in production.
  • Proficiency in programming languages such as Python, Go.
  • Strong communication skills and ability to collaborate effectively in a team environment.
  • (Optional) Experience working with text2sql, data modeling, data analysis, retrieval systems, and semantic layers is a plus.

About Snowflake:

Snowflake is the AI Data Cloud trusted by the world's most innovative companies. We're shipping production-ready AI applications at scale and want you to join us in building the future of how businesses interact with their data through our Cortex products: Snowflake Intelligence, Cortex Agents, Cortex Analyst, Cortex Search.

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

Compensation and Benefits:

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

The estimated base salary range for this role is $200,000 - $287,500. Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.

Key skills/competency:

  • AI Engineering
  • Machine Learning
  • Natural Language Processing
  • Prompt Engineering
  • Python
  • Go
  • Data Modeling
  • NL-to-SQL
  • Deployment
  • Evaluation Metrics

Tags:

Staff AI Engineer
AI engineering
machine learning
natural language processing
prompt engineering
data modeling
evaluation
deployment
optimization
product development
agentic workflows
Python
Go
Snowflake
SQL
cloud platforms
LLMs
retrieval systems
semantic layers
data analysis

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How to Get Hired at Snowflake

  • Research Snowflake's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume: Highlight AI engineering, Python, Go, and production experience relevant to Snowflake's Cortex products.
  • Showcase AI project impact: Quantify results from previous AI feature shipments and emphasize full lifecycle ownership.
  • Prepare for technical deep-dives: Focus on AI engineering, NL-to-SQL, prompt engineering, and evaluation methodologies.
  • Demonstrate collaboration skills: Emphasize teamwork, cross-functional partnerships, and leadership in product development.

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