Senior AI Security Engineer (R-19324)
Tasks
- Define and advance AI security architectures for enterprise platforms
- Define identity authentication authorization and trust models for human to AI interactions
- Design secure AI data architectures for governance lineage protection and privacy
- Ensure secure by default environments across multi cloud ecosystems
- Establish controls for prompt injection data leakage and model exfiltration
- Implement AI security controls for LLM systems and AI driven APIs
- Implement DevSecOps practices for AI platforms in CI CD pipelines
- Integrate security across AI lifecycle model development training evaluation deployment and runtime
- Lead incident response and forensic analysis for AI security events
- Lead threat modeling and red teaming for AI systems
- Provide technical leadership and mentor engineers
- Support regulatory compliance and security governance initiatives
Perks/Benefits
- Educational assistance program
- Employee Health Insurance
- Family-friendly leave
- Flexible working (hybrid model)
- Holiday buy sell up to 5 days
- Life assurance
- Life-Style Account
- Mental health support program
- Pension contribution
- Un sick day
- Volunteer days
Skills/Tech-stack
AI Security | API Security | AWS | Adversarial Testing | Agentic AI | Artificial Intelligence | Azure | CI/CD | Cloud Security | Cloud platform | Containers | Data Governance | Data Lineage | Data leakage | DevSecOps | Forensic analysis | Google Cloud | Google Cloud Platform | IAM | Kubernetes security | LLM security | Machine Learning | Microservices | Model Exfiltration | Model poisoning | Network Security | Privacy-Preserving Techniques | Privacy-preserving | Prompt injection | RAG | Red Teaming | Secure Coding | Secure SDLC | Threat modeling | Vector Databases
Education
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