Solutions Engineer — AI & Data Science Specialist
Core
Interpret, analyze, and explain AI security testing results (POCs, red-teaming, runtime guardrails) to help customers understand model behavior, false positives/negatives, and risk thresholds.
Role type
Specialist Solutions Engineer (AI/ML Subject Matter Expert)
Builds
AI Runtime Security portfolio solutions for enterprise customers
Domain
Cybersecurity + Large Language Models (LLMs) + AI Security
Deliverable
production ML models | product features | dashboards & analysis
Required skills
LLM behavior analysis, prompt engineering, false positive/negative tradeoff analysis, model evaluation metrics, risk threshold definition, technical customer communication
Preferred skills
AI security concepts (prompt injection, jailbreaks, data leakage), Python/notebook analysis, real customer dataset experience
Technologies
Python, notebooks, LLM evaluation frameworks
Responsibilities
Analyze AI Runtime Security POC results and red-team campaigns; Diagnose false positives/negatives and explain root causes to customers; Partner with Account Executives during late-stage evaluations; Create internal playbooks for FP/FN analysis and prompt tuning; Translate statistical outcomes into business-relevant risk narratives.
Seniority
Mid-Senior, hands-on IC
