AI Security Architect - AI Red Team (Enterprise)
C-Serv Global Ltd, Portland, OR, United States
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.
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
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.
Comprehensive Private Medical Coverage
Support for Mental Health Expenses
Life Insurance Options
Attractive Compensation Package
#J-18808-Ljbffr
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.
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
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.
Comprehensive Private Medical Coverage
Support for Mental Health Expenses
Life Insurance Options
Attractive Compensation Package
#J-18808-Ljbffr