AI Security Consultant - AI Red Team

C-Serv

$120K — $150K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Experience leading red team engagements against AI systems in production.
  • Strong understanding of adversarial machine learning principles.
  • Familiarity with AI deployment architectures like RAG and vector databases.
  • Fluent in Python for building and adapting testing tools.
  • Experience within ISO 27001 and SOC 2 governance frameworks.

Responsibilities

  • Lead adversarial testing to identify vulnerabilities in production AI systems.
  • Conduct prompt injection, jailbreaking, and model exploitation assessments.
  • Translate findings into actionable items for executives and auditors.
  • Map vulnerabilities to ISO 27001 and SOC 2 control frameworks.
  • Create audit-friendly documentation detailing technical risks.

Benefits

  • Comprehensive Private Medical Coverage
  • Support for Mental Health Expenses
  • Life Insurance Options
  • Attractive Compensation Package
Full Job Description
Principal AI Security Engineer - AI Red Team

Somewhere in your organization right now, an LLM is one clever prompt away from leaking data it was never supposed to touch. Most companies don't know that until it's too late - or until a red team finds it first.

We're building that red team.

What you'll own

You'll lead adversarial testing against production AI systems - not lab demos, not theoretical exercises. You'll break things on purpose: prompt injection, jailbreaking, model exploitation, RAG manipulation, data extraction. Then you'll do the harder part - translate what you found into something an executive team and an auditor can both act on, mapped cleanly to ISO 27001, SOC 2, ISO 27701, and ISO 27017.

If you've ever watched a sharp AI risk finding die in a slide deck because nobody could connect it to a control framework, this role exists to fix that.

What we need from you
  • You've personally run red team engagements against LLM or AI-driven systems in production - not just studied the theory. We'll ask you to walk us through a real one.
  • You understand how these systems are actually built - RAG pipelines, vector databases, fine-tuning workflows, API architectures - well enough to know where they break.
  • You write Python fluently enough to build or adapt your own testing tooling.
  • You're as comfortable in an ISO 27001 or SOC 2 environment as you are in a terminal - you can map a jailbreak to a control gap without a translator.
  • You can present a finding to an executive room and have them understand exactly why it matters.

This is a rare combination. If you're strong on the offensive AI side but have never worked inside a governance framework, or strong on GRC but have never actually attacked a model - this probably isn't your role yet. That's fine. We'd rather you self-select out than waste your time or ours.

Requirements

What We're Looking For

Core Technical Depth

Strong understanding of adversarial machine learning

Experience red teaming LLM or AI systems

Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines)

Strong Python proficiency

Enterprise Security & Governance Fluency

Experience working within ISO 27001 environments

Practical knowledge of SOC 2 Trust Service Criteria

Understanding of ISO 27701 privacy extensions

Familiarity with ISO 27017 cloud security controls

Ability to map technical findings to control frameworks

Communication & Documentation

Ability to produce clear, structured, audit-friendly documentation

Comfortable presenting technical risk to executive audiences

Strong written and verbal communication skills

What you'll get from C-Serv

You'll be placed with an organization serious enough to build this function properly - not bolt a red team onto a compliance checklist. Full-cycle support from a delivery partner who understands both the technical depth and the enterprise context this role demands.

Ready to break something for a living?

Apply now, and be ready to talk specifics - not certifications in progress, actual engagements you've run.

Benefits
  • Comprehensive Private Medical Coverage
  • Support for Mental Health Expenses
  • Life Insurance Options
  • Attractive Compensation Package

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