AI Security Engineer

📋 Description

• Design, test, and deploy autonomous AI agents integrated with SIEM/EDR/XDR
• Translate SOC playbooks into agentic pipelines using DAGs
• Design and maintain RAG workflows to inject real-time security context
• LLM performance engineering: optimize latency and cost
• Collaborate with Tier 3 Analysts to engineer HITL handoffs
• Implement robust security boundaries around LLM architecture

🎯 Requirements

• Builder-first: shipping production-grade async code and robust architecture
• Security-curious/hardened: guardrails between AI and cybersecurity
• Thrives in ambiguity: turn abstract problems into executable AI systems
• Bachelor's or Master’s in CS/AI/EE or related + 2+ years AI/ML exp
• 2+ years programming in Python, Go, Scala, or Java
• 3+ years deploying AI on cloud (AWS, GCP, Azure)

🎁 Benefits

• Onboarding training, mentorship, and First-Friend program
• Growth opportunities including leadership program and Appian University
• Community through affinity groups and inclusive culture
• Comprehensive benefits may vary by country; location-specific details provided