Artificial Intelligence Senior Security Engineer
Tasks
- Advise leadership on AI in cybersecurity
- Architect scalable AI integration
- Automate incident response with AI
- Collaborate on AI enhanced red teaming
- Detect anomalies using AI models
- Develop adversarial emulation capabilities
- Develop and operationalize ML models for cybersecurity
- Enable autonomous threat response
- Govern AI model risk and ethics
- Identify AI enhancements to security controls
- Implement AI powered threat hunting
- Mitigate model bias and improve explainability
- Prototype emerging AI for threat detection
- Use predictive analytics for proactive defense
Perks/Benefits
Skills/Tech-stack
AI Foundry | AWS Bedrock | 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 Native | Cloud Native Architecture | Cyber Threat | Cyber Threat Intelligence | Data Engineering | Data Pipelines | Explainability | Feature Engineering | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Incident Response | Langchain | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Governance | Natural Language | Natural Language Processing | PyTorch | Red Teaming | Security Orchestration | Security Orchestration Automation | Security Orchestration Automation and Response | Security data | Security data pipelines | TensorFlow | Threat Intelligence | Threat hunting | Threat modeling | Vertex AI
Education
N/A
Roles
AI | AI Security Engineer | Cyber Security | Cyber Security Engineer | Engineer | Security Engineer
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