Senior AI Engineer - Cortex Code
Snowflake Computing
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.About the Role 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. What you will do in this role:- 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 productionize 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.
$236k - $339.2k
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