AI Security Engineer
Tasks
- Automate incident response
- Collaborate on AI enhanced red teaming
- Defend against AI enabled threats
- Develop adversarial emulation capabilities
- Develop and operationalize LLM models
- Develop and operationalize custom ML models
- Ensure responsible AI governance and bias mitigation
- Identify AI enhancements for security controls and architecture
- Implement AI powered anomaly detection
- Implement AI powered threat hunting
- Mentor engineers and analysts
- Monitor predictive analytics for proactive defense
- Prototype and evaluate emerging AI technologies for security
- Transform architecture for scalable AI integration
Perks/Benefits
Skills/Tech-stack
AI Foundry | AWS Bedrock | Adversarial Emulation | Adversarial Machine Learning | Agentic AI | Anomaly Detection | Artificial Intelligence | Attack Path | Attack path mapping | Automation and response | Azure AI | Azure AI Foundry | Bias Mitigation | Cloud Architecture | Cyber Threat | Cyber Threat Intelligence | Cybersecurity | Data Engineering | Data Management | Data Pipelines | Explainability | Feature Engineering | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Incident Response | Language Models | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Governance | Model Risk Management | Model risk | Predictive Analytics | Red Teaming | Risk Management | SOAR | Security Data Management | Security Orchestration | Security Orchestration Automation | Security Orchestration Automation and Response | Security data | Threat Intelligence | Threat hunting | Threat modeling | Vertex AI
Education
N/A
Roles
AI | AI Security Engineer | Cybersecurity Engineer | Engineer | Security Engineer
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