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 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
- Identify and mitigate model misuse and abuse
- Identify and mitigate prompt injection and jailbreaks
- Perform architecture and security reviews of AI solutions
- Support AI use cases from design to production
- Validate AI integrations and deployments against security requirements
Perks/Benefits
Skills/Tech-stack
AI Framework | AWS | AWS Bedrock | Access Control | Agent architecture | Agent to Agent | Agent to Agent Architecture | Application Security | Architecture Reviews | Auditability | Azure | Cloud Security | Data Access Control | Data Leakage Prevention | Data Privacy | Data Protection | Data access | Data leakage | Databricks | DevSecOps | Generative AI | Jailbreak Protection | LLM security | Language Models | Large Language Models | Leakage prevention | Logging | MCP 38 | ML Workflow Security | ML workflow | MLOps | Model Context Protocol | Monitoring | OWASP Top | OWASP Top 10 | OWASP Top 10 for LLMs | Prompt injection | Prompt injection mitigation | Secure AI | Secure AI Framework | Security Governance | Security Reviews | Security controls | Workflow security
Education
N/A
Roles
AI | AI Security Engineer | Engineer | GenAI Security Engineer | Security Engineer
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