AI Security Architect

Job 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. This role bridges hands‑on technical work with cross‑functional collaboration across Engineering, Platform, and R&D teams and reports to the Director of Security Architecture.

Support the design and execution of security across global cloud and SaaS platforms, with a focus on AI security governance. Collaborate cross‑functionally with Engineering, Platform, and R&D teams to translate security policies and risk findings into actionable architecture standards and technical controls.

• 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.

• 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.

• 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, Dev Ops and R&D teams.
• Fluent English, written and spoken.

• 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.