Staff AI Engineer (Cortex Code Quality)

TL;DR

Staff AI Engineer (Cortex Code Quality): Defining the architecture of agent behavior at enterprise scale by building agentic systems and methodologies for efficient, repeatable, auditable, and shippable solutions. Focus on turning customer pain into golden scenarios, metrics, and experiment loops that the whole team can trust.

Location: US-CA-Menlo Park

Salary: $236K - $339.2K

Company

Snowflake is the AI Data Cloud trusted by the world's most innovative companies.

What you will do

• Own major pillars of the quality stack by tuning agent behavior for next-generation agentic coding tasks.
• Design and evolve pipelines and tooling that support large-scale experimentation and iteration.
• Lead postmortems on quality regressions and translate findings into a prioritized roadmap.
• Align product, infra, and applied AI on what “good” means for critical customer workflows.
• Ensure quality systems are dependable with reproducible runs, stable datasets, and versioning.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Statistics, or a related field.
• 8+ years of experience shipping AI/ML-backed software in production, including Staff-level ownership.
• Strong track record building and operating eval harnesses and experimentation loops for LLM/agent systems.
• Proficiency in programming languages such as Python, TypeScript, Go (strong in at least two).
• Exceptional communication skills.

Nice to have

• Deep experience with agentic coding tools and intuition for model strengths, failure modes, and prompting limits.
• Background in data engineering (dbt, Airflow), analytics, retrieval / RAG, or semantic layers.
• Prior work on LLM observability, safety/guardrails, or quality systems used as release gates in production.

Culture & Benefits

• Culture that’s all in on impact, innovation, and collaboration.
• Opportunity to build big, move fast, and take technology and careers to the next level.