AI Offensive Security Engineer
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AI Offensive Security Engineer at C-Serv in Vancouver, Canada, for a hybrid IT Lead security role. JobGrid normalizes the listing into comparable role facts and shows the source in English; the source was posted on 2026-06-03 and last checked on 2026-06-04. Applications go through the original public application page, with non-personal referral parameters added by JobGrid.
- Role facts: AI Offensive Security Engineer, C-Serv, Vancouver, Canada, hybrid, IT, Lead.
- Source freshness: posted 2026-06-03 and last checked 2026-06-04.
- Comparable classification: category IT, subcategory Security Engineer, seniority Lead.
- Salary is not listed in the payload, so no salary context is shown here.
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.