STAFF SOFTWARE ENGINEER, Frontier Security Team
Snowflake
- Pay
- $236k–$295k
- Workplace
- On-site
- Location
- US-CA-Menlo Park · Menlo Park · California · United States
- First seen
- 2 hours ago
- Last seen
- 2 hours ago
- Board
- Ashby
Summary
At Snowflake, we are powering the era of the agentic enterprise.
Posting
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. At Snowflake, we are powering the era of the agentic enterprise. We seek AI-native engineers who are curious about emerging capabilities, rigorous about measured results, and motivated to redefine how software is built and operated. Snowflake’s Frontier Security AI teams develop production-grade LLM applications, intelligent agents, AI infrastructure, and evaluation systems for enterprise customers. Our products must meet a high bar for quality, security, reliability, and efficiency while operating over sensitive data at large scale. ABOUT THE ROLE We are looking for a Staff Software Engineer to lead the design and development of our Agentic Harness and agent evaluation platform. The Agentic Harness provides the runtime, tools, context, state, policies, and observability required to build and operate production AI agents. The evaluation platform measures how well those agents complete real customer tasks and detects regressions before they reach production. This is a hands-on technical leadership role. You will build production systems, establish architecture across team boundaries, and define the metrics and engineering practices used to improve agent quality. You will work with product, infrastructure, applied AI, security, and modeling teams to take new AI capabilities from prototype to dependable customer value. WHAT YOU WILL DO IN THIS ROLE • Architect and build the Agentic Harness that executes complex, multi-step AI workflows across models, tools, data, and services. • Design stable interfaces for tool execution, context construction, state management, memory, permissions, retries, fallbacks, and human review. • Own agent quality end to end by building evaluation harnesses, representative datasets, automated graders, experiment pipelines,