AI Security Architect
Location: UK - London (Hybird) or Poland (Remote) or Israel - Holon (Hybrid)
We are looking for a skilled and forward-thinking Security Architect to support the design and execution of security across our global cloud and SaaS platforms, with a growing focus on AI security governance. Reporting to the Director of Security Architecture, this role bridges hands-on technical work with cross-functional collaboration across Engineering, Platform and R&D teams.
Requirements
Experience
- 5+ years of experience in Information Security, including 2+ years in a Security Architecture or AI Security role.
- Proven experience designing security architecture for cloud or SaaS environments.
- Hands-on experience with AI security risks, including LLM threat modeling, prompt injection, data leakage via AI tools and agentic workflows.
- Familiarity with AI governance frameworks such as NIST AI RMF, ISO 42001 or the EU AI Act.
- Experience conducting security architecture reviews, threat modeling and risk assessments.
Technical Knowledge
- Identity & Access Architecture (IAM, CIAM, authentication, authorization, governance).
- Network Security (segmentation, isolation, secure routing, microsegmentation).
- Application & API Security, including AI-integrated APIs and model endpoints.
- Data protection, secure key management and data classification principles.
- AI tool and agent security, covering MCP server governance, tool approval workflows and session management.
- Cloud-native architectures and distributed systems design patterns.
Skills and Competencies
- Ability to translate security policies and risk findings into actionable architecture standards and technical controls.
- Strong skills in technical documentation, architecture diagrams and security standards.
- Experience supporting incident analysis, threat detection and mitigation planning.
- Excellent communication skills, with the ability to engage both technical and business audiences.
- Ability to work collaboratively with Platform Engineering, Cloud Infrastructure, DevOps and R&D teams.
- Fluent English, written and spoken.
Advantages
- Designing security for multi-tenant SaaS platforms serving regulated industries such as financial services or insurance.
- Practical experience with AI security tooling, including AI DLP, shadow AI detection and AI posture management platforms.
- Knowledge of Zero Trust models and continuous evaluation of identity, device and access context.
- Experience with CSPM, CNAPP, CWPP or SASE/SSE platforms.
- Container security, orchestration frameworks, service mesh and cloud-native security tooling.
- Vulnerability management and secure configuration governance.
- Relevant certifications such as CCSP, CISSP or equivalent AI/cloud security credentials.
Sapiens is an equal-opportunity employer. We value diversity and strive to create an inclusive work environment that embraces individuals from diverse backgrounds.
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