AI Security / GenAI
Tasks
- Contribute to AI governance and security standards
- Define guardrails for sensitive and regulated data usage
- Define security requirements for AI platforms APIs agents 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 and review AI GenAI use cases end to end
- Validate AI integrations and deployments against security requirements
Perks/Benefits
Skills/Tech-stack
AI Framework | API Security | AWS | AWS Bedrock | Abuse prevention | Access Control | Agent architectures | Agent to Agent | Agent to Agent Architectures | Agentic AI | Application Security | Artificial Intelligence | Auditability | Azure | Cloud Security | Data Leakage Prevention | Data Privacy | Data Protection | Data leakage | Data permissions | Databricks | DevSecOps | Generative AI | Guardrails | Jailbreak Attacks | LLM security | Language Models | Large Language Models | Leakage prevention | Logging | MLOps | Model Abuse Prevention | Model Context Protocol | Model abuse | Monitoring | OWASP Top | OWASP Top 10 | OWASP Top 10 for LLMs | Prompt injection | Risk Assessment | Secure AI | Secure AI Framework | Security Architecture | Security Reviews | Security controls
Education
N/A
Roles
AI | AI Security Engineer | Engineer | GenAI Security Engineer | Security Engineer
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