AI Cybersecurity Engineer
USA - PA - Oaks, United States
USD 100K-150K (estimate) Senior-level Full Time
Tasks
- Build automated AI security testing
- Define AI security strategy and roadmap
- Design secure AI security platforms
- Develop AI model security controls
- Embed security into AI lifecycle
- Enable continuous monitoring and observability
- Engineer ML based security detection
- Establish security standards and frameworks for AI development
- Implement AI model governance frameworks
- Implement data security and privacy controls
- Lead architectural reviews and threat modeling
- Translate security risks into business impact
Perks/Benefits
- 401k match
- Back Up Childcare Arrangements
- Commuter benefits
- Discounted stock purchase plan
- Flexible paid time off
- Healthcare benefits
- Hybrid working environment
- Life and disability insurance
- Paid parental leave
- Paid time off
- Paid volunteer days
- Tuition reimbursement
Skills/Tech-stack
AI Risk Management Framework | APIs | AWS | Adversarial Machine Learning | Agent Frameworks | Artificial Intelligence | Azure | C Sharp | CI/CD | Containerization | Cryptography | Data poisoning | Docker | Encryption | GCP | Go | Hugging Face | ISO 27001 | Identity Security | Infrastructure as Code | Java | Kubernetes | LLM | LLM Top 10 | LLM security | Logging | MITRE ATLAS | MLOps | MLSecOps | Machine Learning | Management Framework | NIST AI | NIST AI Risk | NIST AI Risk Management | NIST AI Risk Management Framework | OCI | OWASP LLM | OWASP LLM Top 10 | Prompt injection | PyTorch | Python | RAG | RBAC | Risk Assessment | Risk Management Framework | SOC 2 | Scikit-learn | TensorFlow | Threat modeling | Top 10 | Vector Databases | Zero Trust | “as-code”
Education
Roles
AI | AI Cybersecurity Engineer | Architect | Cybersecurity Engineer | Engineer | Security | Security Architect
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