Security AI Engineer (Azure/GenAI) - Hybrid Lisbon or Porto (3 days/week office)
Tasks
- Apply DLP redaction tokenization controls
- Apply SAST and SCA to AI generated code
- Assess AI architecture risks
- Conduct risk assessments by model data and use case
- Define AI security requirements
- Evaluate AI related risks and controls
- Implement AI agent permission and tool access controls
- Implement input output validation controls
- Implement runtime content filtering controls
- Maintain security guardrails for AI systems
- Manage secrets to prevent sensitive data exposure
- Monitor security controls and remediation actions
- Perform threat modeling for AI architectures
- Review technical designs for security
Perks/Benefits
Skills/Tech-stack
APIs | Application Security | Artificial Intelligence | Azure Managed | Azure Managed Identity | Cloud Security | Cloud Security Architecture | Data Loss Prevention | Data loss | Data redaction | DevSecOps | Generative AI | IAM | Infrastructure as Code | Kubernetes | Language Models | Large Language Models | Loss prevention | Managed Identity | Microsoft Azure | Network Segmentation | RBAC | Risk Assessment | Runtime Security | SAST | SCA | Secrets management | Security Architecture | Threat modeling | Tokenization | “as-code”
Education
N/A
Roles
AI Engineer | Engineer | Security | Security AI Engineer | Security Engineer
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