AI Security Specialist

Deel Deel · Enterprise · EMEA · R&D

The AI Security Specialist will lead the effort to secure AI-powered systems, agentic workflows, and machine learning infrastructure. This role involves defining security standards, evaluating threats, implementing controls, and enabling safe internal AI adoption while ensuring compliance with SOC 2, ISO 27001, and GDPR.

What you'd actually do

  1. Define, implement, and maintain the AI security strategy across Deel's infrastructure and product ecosystem
  2. Lead security assessments and threat modeling for AI/ML models, LLM integrations, and agentic AI systems
  3. Evaluate and deploy AI Security Posture Management (AISPM) and AI Detection & Response (AIDR) solutions
  4. Secure MCP (Model Context Protocol) server deployments, including authentication, authorization, data flow controls, and supply chain risk assessments
  5. Own the security review and enablement process for internal AI tool adoption, evaluating new AI capabilities, approving safe usage, and defining guardrails that let teams move fast without compromising security

Skills

Required

  • AI security strategy
  • Threat modeling for AI/ML
  • LLM security
  • Agentic AI systems security
  • AI Security Posture Management (AISPM)
  • AI Detection & Response (AIDR)
  • MCP server security
  • Supply chain risk assessments for AI
  • AI tool adoption security review
  • Guardrails for AI usage
  • AI policy development
  • AI-assisted development security
  • Penetration testing for AI/ML
  • Prompt injection defense
  • Model manipulation defense
  • Data extraction defense
  • Adversarial attack simulation
  • DLP for AI
  • Tenant restrictions
  • Data classification for AI
  • Third-party AI integration security
  • AI-specific detection rules
  • AI incident response
  • AI threat landscape monitoring
  • SOC 2 compliance
  • ISO 27001 compliance
  • GDPR compliance

Nice to have

  • Information Security
  • Machine Learning Infrastructure
  • Global HR platforms
  • SaaS security

What the JD emphasized

  • AI Security Specialist
  • secure AI-powered systems
  • agentic workflows
  • machine learning infrastructure
  • define security standards for AI adoption
  • evaluate emerging threats in the AI landscape
  • implement controls that protect our platform
  • key enabler for internal AI adoption
  • safely leverage new AI tools and capabilities
  • evaluate, approve, and onboard AI-driven tools and workflows
  • ensure AI technologies are deployed safely
  • alignment with compliance requirements
  • security architecture
  • AI Security Posture Management (AISPM)
  • AI Detection & Response (AIDR)
  • prompt injection
  • model manipulation
  • data extraction
  • adversarial attack simulations
  • DLP controls for AI environments
  • tenant restrictions
  • data classification
  • prompt injection mitigations
  • SOC 2
  • ISO 27001
  • GDPR

Other signals

  • securing AI-powered systems
  • agentic workflows
  • machine learning infrastructure
  • define security standards for AI adoption
  • evaluate emerging threats in the AI landscape
  • implement controls that protect our platform
  • key enabler for internal AI adoption
  • safely leverage new AI tools and capabilities
  • evaluate, approve, and onboard AI-driven tools and workflows
  • ensure AI technologies are deployed safely
  • alignment with compliance requirements
  • security architecture