Security Risk Engineer, AI Systems
Tasks
- Advise on secure design principles and security architecture decisions
- Analyze application architectures data flows and trust boundaries
- Assess security implications of AI adoption including LLM integrations prompt injection and data leakage
- Collaborate with engineering product security and business stakeholders
- Conduct technical security risk assessments
- Evaluate security controls and recommend risk mitigation strategies
- Identify security threats vulnerabilities and attack vectors
- Perform threat modeling for applications products and AI implementations
- Track developments in AI application security and evolving threat landscapes
- Use AI tools for research analysis and delivery efficiency
- Validate findings through hands on testing proof of concept or security tooling
Perks/Benefits
- Annual leave
- Birthday leave
- Company pension scheme
- Employee assistance programme
- Flexible working
- Internal mobility
- International progression
- Public holidays
- Unlimited Pluralsight access
Skills/Tech-stack
AI Governance | API Security | AWS | Application Security | Attack Vector | Attack vector analysis | CI/CD | CI/CD Security | Cloud Security | Data Flow | Data Flow Analysis | Data leakage | DevSecOps | Flow analysis | LLM security | Microsoft Azure | Penetration Testing | Prompt injection | Risk Mitigation | Secure Software | Secure Software Development | Security Architecture | Security Automation | Security Testing | Security controls | Software development | Threat Assessment | Threat modeling | Vector analysis
Education
N/A
Roles
Engineer | Risk Engineer | Security | Security Engineer | Security Risk Engineer
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