Responsibilities
- Design & build the AI layer that powers autonomous detection, RAG-backed investigation, and auto-remediation workflows.
- Develop and productionize large-scale LLMs, graph-based reasoning engines, and streaming feature pipelines that operate on billions of security events.
- Own evaluation & reliability—from prompt libraries and fine tuning to red-team testing, latency budgets, and fallback strategies.
- Mentor & grow a cohort of AI engineers; run design reviews, uphold code quality, and instill a security-first mindset.
- Partner tightly with Product, Detection Engineering, and Customer Success to translate real-world attacker behavior into robust ML and rule-based detections.
- Push the frontier—experiment with retrieval-augmented generation, tool-calling agents, and multi-modal models (text + logs + graphs) to keep defenders decisively ahead.
Benefits
- Competitive salary and benefits package.
- A culture of growth and development, with opportunities to expand your knowledge in AI, cybersecurity, and emerging technologies.
- We practice pay transparency and reward performance.
Work Arrangement
Hybrid
Team
Structure: Principal AI Engineer will mentor and grow a cohort of AI engineers and partner with Product, Detection Engineering, and Customer Success teams.
