AI Engineer - Cortex Code Quality

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact.

We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn’t just to execute a function, but to help redefine the future of how work gets done.

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 Code team is building the future of coding agents for working with data. See our flagship product in action:
Cortex Code in Action:
Live Demos + AMA
.

Your work will directly impact how developers and businesses build with 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.

• Own features end-to-end for Snowflake Cortex Code products. Build agentic workflows, coding harnesses, evaluation pipelines.
• Build enterprise-grade context engineering: function calling, tool schemas, guardrails, agent teams, 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 product ionize improvements.
• Work with an elite team of engineers towards building great products.

• 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, Typescript, Go.
• Strong communication skills and ability to collaborate effectively in a team environment.
• (Optional) Experience working with data engineering pipelines (dbt, airflow), data modeling, data analysis, retrieval systems, and semantic layers is a plus.

• Deep experience with agentic coding tools (e.g. IDE agents, CLI agents) and intuition for model strengths, failure modes, and prompting limits.
• Background in data engineering (dbt, Airflow), data modeling, analytics, retrieval / RAG, or semantic layers — highly relevant for data-centric coding agents.
• Prior work on eval harnesses, LLM observability, or safety / guardrails in production.

• Have built and owned complex systems — pipelines, orchestration, or software with substantial state, branching logic, and operational requirements.
• Thrive in high-intensity environments with short feedback loops and high standards for rigor.
• Take problems to completion independently: you don’t stop at a prototype; you care about production reliability and clear metrics.
• Are a power user of modern coding agents and care about turning that intuition into systematic measurement and improvement.

$160K – $230K