AI Systems & Architecture
Design and implement AI pipelines for detection, reasoning, prioritization, and decision support
Build agent-based and workflow-driven AI systems operating over security data
Work with structured and unstructured data across logs, alerts, telemetry, and external intelligence
Design evaluation, feedback, and continuous improvement loops
Model Development & Integration
Develop and integrate LLM-based systems, retrieval pipelines, and hybrid ML approaches
Design prompt strategies, tool-calling systems, and multi-step reasoning flows
Optimize for latency, cost, reliability, and correctness in production
Production & Reliability
Build AI systems that are observable, debuggable, and safe in real environments
Collaborate on infrastructure, deployment, and scaling of AI services
Implement monitoring, evaluation metrics, and guardrails
Collaboration & Influence
Work closely with security domain experts to encode real-world reasoning into AI systems
Contribute to product direction and technical strategy
Help set engineering standards and mentor other engineers as the team grows