AI Security Engineer – GenAI & Cloud Data Security/SIEM/Python/Banking/Fintech)
Posted 4 days ago by GIOS Technology
Negotiable
Undetermined
Hybrid
Knutsford, England, United Kingdom
Summary: The AI Security Engineer role focuses on leading the design and optimization of AI/GenAI security platforms within a banking and fintech context. The position involves developing secure cloud-native data and AI security services, conducting threat assessments, and enhancing enterprise security controls. The engineer will also contribute to R&D initiatives and technical documentation to foster innovation in AI/ML security. This hybrid role requires a blend of technical expertise and collaboration in a regulated financial environment.
Key Responsibilities:
- Lead the design, enhancement, and optimization of AI/GenAI security platforms.
- Design and build secure cloud-native Data & AI security services across AWS and Azure.
- Conduct threat modeling, penetration testing, and vulnerability assessments across AI/ML ecosystems.
- Develop automation, security tooling, and vulnerability scripts using Python.
- Strengthen enterprise security controls including DLP, SIEM, IDS/IPS, and Firewalls.
- Contribute to R&D initiatives, PoCs/PoVs, and technical documentation.
Key Skills:
- Azure AI Security
- AWS AI Guardrails
- Google Vertex AI Security
- IBM Watson OpenScale
- Python
- DevSecOps
- OWASP
- SIEM
- DLP
- IDS/IPS
- Threat Modeling
- Penetration Testing
- Vulnerability Assessment
- AWS
- Azure
- PyTorch
- Scikit-learn
- LangChain
- CI/CD
- Agile
- Scrum
- Kanban
- JIRA
- CISSP
- CGLCP
Salary (Rate): undetermined
City: Knutsford
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
I am hiring for AI Security Engineer – GenAI & Cloud Data Security/SIEM/Python/Banking/Fintech)
Location: Hybrid – Knutsford (60% Office / 40% Remote)
Job Description: Lead the design, enhancement, and optimisation of AI/GenAI Security platforms , ensuring strong governance, data privacy, and risk mitigation across enterprise environments. Design and build secure cloud-native Data & AI security services across AWS and Azure , aligning with modern secure software lifecycle patterns and DevSecOps principles. Conduct threat modelling, penetration testing, and vulnerability assessments across AI/ML ecosystems including data pipelines, APIs, and model infrastructure. Develop automation, security tooling, and vulnerability scripts using Python , supporting scalable AI security operations. Strengthen enterprise security controls including DLP, SIEM, IDS/IPS, Firewalls , and AI-specific guardrails to enhance detection and response capabilities. Contribute to R&D initiatives, PoCs/PoVs, and technical documentation to advance AI/ML security innovation within a regulated financial environment.
Key Skills: Azure AI Security, AWS AI Guardrails, Google Vertex AI Security, IBM Watson OpenScale, Python, DevSecOps, OWASP, SIEM, DLP, IDS/IPS, Threat Modelling, Penetration Testing, Vulnerability Assessment, AWS, Azure, PyTorch, Scikit-learn, LangChain, CI/CD, Agile, Scrum, Kanban, JIRA, CISSP, CGLCP