AI Offensive Security Engineer

C-Serv

$100K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in adversarial machine learning and red teaming of AI systems
  • Deep knowledge of AI deployment architectures including RAG, APIs, and fine-tuning pipelines
  • Proficient in Python programming for security testing
  • Hands-on experience with enterprise AI products and producing threat models
  • Proven ability to create audit-friendly documentation and present findings to executives

Responsibilities

  • Design and lead adversarial testing initiatives for AI systems
  • Conduct in-depth threat modeling assessments across multiple layers
  • Oversee various tests such as prompt injection, jailbreaking, and model exploitation
  • Translate technical vulnerabilities into structured reports aligned with compliance frameworks
  • Collaborate closely with engineering and security teams to integrate findings
  • Present comprehensive risk assessments to senior leadership

Benefits

  • Comprehensive Private Medical Coverage
  • Support for Mental Health Expenses
  • Life Insurance Options
  • Attractive Compensation Package
Full Job Description
The Opportunity

We are building an elite AI Red Team to stress-test and harden enterprise-scale AI products deployed to some of the world's largest organizations.

This is not a theoretical research role.

This role sits at the intersection of adversarial machine learning, enterprise security architecture, and governance. You will lead the design and execution of structured red team engagements across multiple AI systems - and translate technical risk into enterprise-aligned assurance.

If you have ever been frustrated watching AI risk findings remain stuck in a slide deck with no operational impact, this role is designed to change that.

What You'll Do
  • Design and lead adversarial testing of LLM and AI-driven systems
  • Conduct threat modelling across model, infrastructure and data layers
  • Execute and oversee testing for:
  • Prompt injection
  • Jailbreaking
  • Model exploitation
  • Data leakage / extraction
  • RAG system manipulation
  • Translate findings into structured, audit-ready documentation
  • Map vulnerabilities and remediation pathways to:
  • ISO 27001 controls
  • SOC 2 Trust Service Criteria
  • ISO 27701 privacy controls
  • ISO 27017 cloud security controls
  • Partner closely with engineering, security, and compliance functions
  • Present findings clearly to executive leadership

This role ensures AI security findings integrated into enterprise governance frameworks.

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
  • Production experience working with Enterprise AI products and platforms specifically in Red Team
  • Experience of working with a threat modelling team
  • Carrying out Pen test on new Enterprise AI products
  • 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


Who You Are
  • Systems thinker
  • Curious and adversarial in mindset
  • Comfortable identifying uncomfortable truths
  • Autonomous and fast-moving
  • Enterprise-aware, not just technically strong
  • Able to operate independently under executive leadership


You understand that security is about both breaking systems and integrating findings into operational and compliance posture.

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

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