Principal Security Engineer, Product & AI
Tasks
- Build AI security program
- Build security tooling and developer guardrails
- Communicate security risks to technical and executive audiences
- Define secure SDLC practices
- Develop genAI security controls
- Lead product security engineering for payment platform
- Mentor security engineers and raise security maturity
- Oversee VPN and enterprise security controls
- Perform security assessments of AI ML architectures and training pipelines
- Perform threat modeling for product features and APIs
- Provide security architecture oversight for endpoint and network security
- Secure APIs and authentication authorization
- Secure ML pipelines and model evaluations
Perks/Benefits
Skills/Tech-stack
AI supply chain security | AI/ML | AI/ML Security | API Security | AWS | Adversarial Attacks | Agent Security Patterns | Agent security | Authentication and Authorization | CI/CD | CI/CD Security | Data Privacy | Differential Privacy | EDR | Federated Learning | Go | Identity Providers | Infrastructure as Code | Injection prevention | Java | Kubernetes | LLM security | ML Security | Machine Learning | Model Validation | Model poisoning | Monitoring Frameworks | Multi-party Computation | NIST CSF | Network Security | Output filtering | PCI DSS | Prompt injection | Prompt injection prevention | PyTorch | Python | RAG Security | Risk Management | SIEM | SOC 2 | SOX | Secure Multi-Party Computation | Secure SDLC | Secure Software | Secure software supply chain | Security Architecture | Security Patterns | Security assessment | Software Supply Chain | Supply Chain | Supply chain security | TensorFlow | Terraform | Threat modeling | “as-code”
Education
N/A
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