Why This Job is Featured on The SaaS Jobs
This AI Engineer role sits at a particularly current intersection in SaaS: enterprise data platforms are rapidly productising LLM capabilities, and code-quality and developer-assist features are becoming core surface areas rather than add-ons. The listing signals work that is tightly coupled to a production SaaS product, where model behavior, reliability, and measurable outcomes matter as much as novelty.
For a long-term SaaS career, the emphasis on the full AI engineering lifecycle is notable. Owning design through deployment and ongoing optimization maps closely to how modern SaaS teams ship and iterate, especially when capabilities must be evaluated continuously and improved with disciplined feedback loops. Experience building evaluation harnesses, guardrails, and observability also transfers well across SaaS companies adopting AI, because these practices tend to become shared infrastructure once products reach real customer usage.
This role is best suited to engineers who prefer end-to-end ownership and can balance experimentation with operational rigor. It will resonate with professionals who enjoy translating ambiguous customer problems into measurable product improvements, and who are comfortable collaborating across product and infrastructure boundaries in an on-site setting.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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.
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
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, 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.
Nice to have:
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.
You may be a particularly good fit if you:
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.
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 throughCortex Code, Cortex agents, Cortex analyst, Cortex search.
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.
How do you want to make your impact?
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
