Lead Security Engineer - Artificial Inteligence
USD 100K-157K (estimate) Senior-level Full Time
Tasks
- Architect enterprise security solutions
- Automate cloud security and secured code detection
- Define AI security guardrails
- Design security monitoring and logging
- Enable safe AI assisted development across IDEs and CI CD
- Engineer and secure Microsoft Agents workflows
- Establish AI model governance policies
- Implement identity and access management controls
- Implement model versioning monitoring and governance
- Prevent prompt leakage and unsafe agent behavior
- Secure AI code generation tools
- Secure enterprise AI workloads
Perks/Benefits
- N/A
Skills/Tech-stack
AI Audit Logging | AI Risk Management Framework | AI audit | APIs | AWS | Active Directory | Adversarial Attacks | Application Security | Audit Logging | Azure | Bash | CI/CD | Cloud Security | Data Protection | Data leakage | Data poisoning | DevSecOps | Docker | Embeddings | Encryption | FISMA | HIPAA | IAM | ISO 27000 | Infrastructure as Code | Input Output | Input output validation | Kubernetes | LLM Applications | Linux | Management Framework | NIST | NIST AI | NIST AI Risk | NIST AI Risk Management | NIST AI Risk Management Framework | OWASP Top | OWASP Top 10 | OWASP Top 10 for LLM | OWASP Top 10 for LLM Applications | Output Validation | Powershell | Prompt handling | Prompt injection | Python | RAG | RBAC | RHEL | Risk Management Framework | SDLC | SIEM | SOC 2 | SSO | SSO/Federation | Secure Prompt Handling | Sensitive Data Leakage | Sensitive data | Terraform | Threat detection | VMware | Vulnerability Management | Windows Security | “as-code”
Education
Roles
Engineer | Lead | Lead Security Engineer | Security | Security Engineer
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