Job Description

Experience: 5–10+ years in cybersecurity, with 1–3+ years in AI/LLM security, AppSec, cloud security, or DevSecOps (hands-on)

Reporting to: Head of AI Security Practice

Role overview

As an AI Security Specialist, you will deliver hands-on AI security work across client environments, assessing GenAI/ML systems, identifying risks, validating controls, performing AI red teaming, and helping teams implement practical fixes across cloud and application stacks.

What you will do

AI/LLM security assessments

  • Assess AI applications (LLM apps, agents, RAG pipelines, ML workflows) for security and privacy risks.
  • Review architecture, data flows, model usage, integrations, access controls, and deployment patterns.

AI red teaming & testing

  • Execute test plans for: prompt injection (direct/indirect), RAG poisoning, data leakage...

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