AI Security / GenAI
Tasks
- Contribute to AI governance and security standards
- Define guardrails for data usage
- Define security requirements for AI platforms APIs agents and integrations
- Enforce security controls with product security and engineering teams
- Ensure logging monitoring and auditability of AI usage
- Identify and mitigate data leakage and exposure risks
- Identify and mitigate model misuse and abuse risks
- Identify and mitigate prompt injection and jailbreak risks
- Perform architecture and security reviews of AI solutions
- Support AI GenAI use cases from design to production
- Validate AI solution integrations and deployments against security requirements
Perks/Benefits
Skills/Tech-stack
AI Framework | AI Governance | AWS | AWS Bedrock | Access Control | Agent to Agent | Application Security | Auditability | Azure | Cloud Security | Data Loss Prevention | Data Privacy | Data Protection | Data loss | Data permissions | Databricks | DevSecOps | LLM security | Logging | Loss prevention | MLOps | Model Context Protocol | Monitoring | OWASP Top | OWASP Top 10 | OWASP Top 10 for LLMs | Prompt injection | Risk Assessment | Secure AI | Secure AI Framework | Security Architecture | Security Reviews | Technical Controls
Education
N/A
Roles
AI | AI Security Engineer | Engineer | GenAI Security Engineer | Security Engineer
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