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CBTS serves enterprise and midmarket clients in all industries across the United States and Canada. CBTS combines deep technical expertise with a full suite of flexible technology solutions--including Application Modernization, Managed Hybrid Cloud, Cybersecurity, Unified Communications, and Infrastructure solutions. From developing and deploying modern applications and the secure, scalable platforms on which they run, to managing, monitoring, and optimizing their operations, CBTS delivers comprehensive technology solutions for its clients' transformative business initiatives. For more information, please visit www.cbts.com.
OnX is a leading technology solution provider that serves businesses, healthcare organizations, and government agencies across Canada. OnX combines deep technical expertise with a full suite of flexible technology solutions—including Generative AI, Application Modernization, Managed Hybrid Cloud, Cybersecurity, Unified Communications, and Infrastructure solutions. From developing and deploying modern applications and the secure, scalable platforms on which they run, to managing, monitoring, and optimizing their operations, OnX delivers comprehensive technology solutions for its clients’ transformative business initiatives. For more information, please visit www.onx.com.
Jo Description -
The Generative AI Security Engineer is responsible for designing, implementing, and maintaining security controls for AI/ML and Generative AI systems.
This role ensures secure development, deployment, and monitoring of GenAI applications, protecting against emerging threats such as prompt injection, model poisoning, data leakage, and adversarial attacks.
The engineer partners with AI/ML teams, cybersecurity, risk, and compliance stakeholders to embed security across the GenAI lifecycle. GenAI Security Architecture, Design secure architectures for LLM-based and generative AI systems
Implement guardrails, access controls, and isolation mechanisms
Conduct threat modeling for AI/ML pipelines
Secure Development & Testing
Perform security reviews of prompts, embeddings, APIs, and model integrations
Identify vulnerabilities such as prompt injection, data exfiltration, and jailbreak attacks
Conduct red teaming and adversarial testing of GenAI applications
Risk & Governance
Ensure compliance with AI governance frameworks and regulatory requirements
Support model risk assessments and AI security standards
Document AI security policies, controls, and mitigation strategies
Data Protection
Implement data privacy safeguards (PII masking, tokenization, encryption)
Secure training data pipelines and inference endpoints
Monitor for data leakage and unauthorized model access
Monitoring & Incident Response
Establish logging and monitoring for AI systems
Detect anomalous model behavior and abuse patterns
Support incident investigations involving AI misuse or compromise
Job Specification -
Required Qualifications:
Bachelor’s or master’s degree in computer science, Cybersecurity, or related field
10+ years in cybersecurity, application security, or cloud security
Experience with AI/ML systems and LLM platforms (e.g., OpenAI, Anthropic, Azure AI, AWS Bedrock)
Strong knowledge of: -
Secure SDLC
Cloud security (AWS, Azure, GCP)
API security
IAM and Zero Trust principles
OWASP Top 10 and LLM security risks
Preferred Qualifications=
Experience with ML pipelines (MLOps)
Knowledge of adversarial ML techniques
Familiarity with AI governance frameworks (NIST AI RMF, ISO/IEC 42001)
Security certifications (CISSP, CCSP, OSCP, etc.)
Key Skills
Threat modeling for AI systems
Prompt injection defense and guardrail implementation
Secure API and microservices architecture
Cloud-native security tools
Risk assessment and regulatory compliance
Strong collaboration and communication skills
Success Metrics
Reduction in AI security vulnerabilities
Successful AI risk assessments and audits
Secure deployment of GenAI applications
Effective mitigation of AI-specific threats