AI Engineer - Cortex Code Quality
Listed on 2026-05-18
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Software Development
AI Engineer, Machine Learning/ ML Engineer
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.
The Cortex Code team is building the future of coding agents for working with data. 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.
Responsibilities- 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, 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 to build great products.
- Bachelor’s degree in Computer Science, Engineering, Statistics or a related field. Master’s or higher degree preferred but not required.
- 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.
- 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.
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 Cortex Code, Cortex agents, Cortex analyst, and Cortex search.
ConfidentialityEvery 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.
Compensation & Benefits- The estimated base salary range for this role is $128,000 – $184,000.
- The role is eligible to participate in Snowflake’s bonus and equity plan.
- Benefits include medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending and health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
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