AI Security Engineer at InvoiceCloud

📋 Description

• Secure AI/ML and generative AI systems; ensure resilience and compliance.
• AI security SME; partner with Engineering, Product, DevSecOps, Legal, and SOC.
• Lead AI security architecture and secure design across data lifecycle.
• Define monitoring, detection, and incident response for AI; SIEM/SOC integration.
• Deliver milestones at 30/150/210 days; create executive risk reports.

🎯 Requirements

• Bachelor’s degree in CS/Cybersecurity/Engineering or related field.
• 5+ years in security engineering, cloud security, or DevSecOps.
• 2+ years building or securing AI/ML systems in production.
• Strong AI/ML threat knowledge incl. prompt injection and data leakage.
• CI/CD and MLOps security integration.
• AWS and Azure proficiency; container security and IAM.
• Familiar with OWASP GenAI Top 10, MITRE ATLAS, NIST AI RMF.

🎁 Benefits

• Award-winning, purpose-driven workplace.
• Opportunity to impact InvoiceCloud's AI-first initiatives.