Principal Security Engineer, Product & AI
Tasks
- Assess AI ML model architectures
- Build AI security program
- Communicate security risks to executives
- Conduct threat modeling for payment features
- Define secure SDLC practices
- Ensure security architecture standards across domains
- Implement GenAI security controls
- Lead product security engineering for payment platform
- Mentor security engineers
- Monitor AI powered security tools
- Partner with product security infrastructure security and security operations
- Perform security architecture reviews
- Provide infrastructure and enterprise security oversight
- Secure APIs
- Secure ML pipelines
Perks/Benefits
Skills/Tech-stack
AI Security | AI supply chain security | API Security | AWS | Access Management | Adversarial ML | Authentication | Authorization | CI/CD | CI/CD Security | Cloud Security | Composition analysis | Data Privacy | Development Lifecycle | EDR | Endpoint protection | Fraud Detection | Go | Identity and Access Management | Identity and access | Infrastructure as Code | Java | Kubernetes | LLM security | ML pipelines | Model Risk Management | Model Validation | Model poisoning | Model risk | Monitoring | NIST CSF | Network Security | Output filtering | PCI DSS | Prompt injection | Prompt injection mitigation | Python | RAG Security | Risk Management | SIEM | SOC 2 | SOX | Secure Software | Secure Software Composition Analysis | Secure Software Development | Secure Software Development Lifecycle | Security Architecture | Security assessment | Software Composition Analysis | Software Development Lifecycle | Supply chain security | Terraform | Threat modeling | VPN | “as-code”
Education
N/A
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