AI Security Architect

Position Overview

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.