Senior AI Security Engineer II
Tasks
- Apply MLOps and LLMOps security practices
- Assess AI-specific threats
- Build AI security tooling and testing approaches
- Configure audit logging and monitoring
- Deliver AI security training and awareness
- Design secure AI patterns
- Detect abuse and poisoning risks
- Develop AI governance frameworks
- Embed AI security controls into SDLC
- Establish human approval workflows
- Implement least privilege access controls
- Integrate security into CI/CD
- Lead AI security reviews
- Map controls to standards and policies
- Monitor risks before production deployment
- Perform threat modelling for AI systems
- Review third party AI vendors
- Validate AI outputs
Perks/Benefits
- Discounted private health insurance
- Employee assistance program
- Family support policies
- Fee-free Zip products
- Fitness session discounts
- Free breakfast daily
- Hybrid working
- Merchant discounts
- Paid leave
- Parental leave
- Team social events
- Volunteering leave
- Weekly free lunches
- Wellbeing allowance
Skills/Tech-stack
AI Agents | AI RMF | AI Security | API Security | Abuse detection | Agentic Workflows | Application Security | Audit Logging | CI/CD | Cloud Security | Detection and Response | Embeddings | IAM | ISO/IEC | ISO/IEC 42001 | Incident Response | LLM | LLM Top 10 | LLM security | LLMOps | Logging | MITRE ATLAS | MLOps | Monitoring | NIST AI | NIST AI RMF | OWASP LLM | OWASP LLM Top 10 | Penetration Testing | Python | RAG | Red Teaming | SAIF | Secrets management | Secure SDLC | Security Architecture | Threat modeling | Top 10 | Vector Databases | Web Security
Education
N/A
Regions
Countries
States
Cities
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