Job Title: AI Security Engineer / Information Security Engineer (AI Systems Security)
Location: O'Fallon, MO
Engagement Type: 12-Month Contract
Submission Deadline: Friday – 10:00 AM EST
Employment Type: W2 Only (No Layers / No 3rd Party Vendors)
LinkedIn Profile is Mandatory with Submission
Important Note:
This role is focused on Securing AI Systems, NOT building or deploying AI/ML models for business use cases.
We are seeking candidates with hands-on experience in evaluating and protecting AI models, ML pipelines, and GenAI infrastructure from evolving cyber threats, vulnerabilities, and data privacy risks.
Top 3 Must-Have Skills:
AI Security – Model Evaluation Security, Implementation Risk Assessments
Cloud Security – AWS / Azure / Google Cloud Platform AI Workload Protection
Data Privacy & Protection Mindset – DLP, Secure Model Training, Confidential AI
Job Summary:
We are looking for an experienced Information Security Engineer specializing in AI Security to help design and implement security frameworks that protect enterprise AI infrastructure, machine learning pipelines, and sensitive data assets.
You will work closely with Data Scientists, ML Engineers, and Security Architects to ensure AI systems are secure across the development lifecycle — from model training and validation to deployment and monitoring.
This team supports enterprise initiatives across:
- Cryptography
- Data Security
- Data Loss Prevention (DLP)
- AI/ML Infrastructure Security
Key Responsibilities:
- Architect and implement secure design principles for AI/ML systems
- Conduct vulnerability assessments and penetration testing for AI models
- Develop tooling and frameworks for AI Model Security Evaluations
- Integrate secure AI development practices into ML lifecycle (MLOps)
- Perform risk assessments on deployed AI implementations
- Collaborate with Cloud Security teams on AI workload protection
- Ensure compliance with AI governance frameworks (NIST, ISO, GDPR)
- Prepare SOPs, technical documentation, and security assessment reports
- Conduct Proof of Concepts (POCs) to identify emerging AI threats
- Provide technical mentorship on AI security best practices
🎯 Required Qualifications:
- Bachelor’s / Master’s in Computer Science, Cybersecurity, or related field
- 7+ years in Information Security Engineering
- Proven experience in AI/ML Security Architecture
- Strong knowledge of:
- Secure Model Training & Deployment
- Encryption & Access Controls
- AI Threat Modeling
- Privacy-Preserving ML Techniques
- Hands-on experience in:
- AI Model Pen Testing
- Secure MLOps Pipelines
- DLP Implementation
- Cloud AI Infrastructure Security
Preferred Certifications:
- CISSP
- CEH
- OSCP
- CCSP
- AI Security / Cloud Security Certifications
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