Advisor -AI Security Engineer
Tasks
- Architect secure execution boundaries for AI agents
- Automate security scanning in deployment pipelines
- Configure multi cloud security posture
- Design LLM guardrails
- Detect toxic outputs
- Develop AI security scanning utilities
- Implement AI powered security anomaly detection
- Implement data loss prevention policies
- Implement sandboxing and IAM for AI agents
- Integrate security scanning into CI/CD pipelines
- Manage dependencies and vulnerability scanning
- Monitor Data Loss Prevention policies
- Perform threat modeling for LLM architectures
- Perform threat modeling for RAG pipelines
- Perform threat modeling for agent workflows
- Prevent data exfiltration
- Prevent prompt injection
- Scan for code vulnerabilities and misconfigurations
- Secure software packages and model weights
Perks/Benefits
Skills/Tech-stack
AI Agent | AI agent security | AI anomaly detection | AWS Security | Access Management | Agent security | Agentic Workflows | Anomaly Detection | Artifact Security | CI/CD | CI/CD automation | DLP | Data Loss Prevention | Data exfiltration | Data loss | Docker | GCP Security | Go | Harness | IAM | Identity and Access Management | Identity and access | JFrog Artifactory | Kubernetes | LLM guardrails | Loss prevention | Machine Learning | Network Policy | Pod Security Standards | Pod security | Prompt injection | Python | RAG | Sandboxing | Security standards | Threat modeling | Toxic output detection | Vulnerability scanning
Education
N/A
Roles
AI | AI Security Engineer | Engineer | Security | Security Engineer
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