Cross River Bank

AI Security Engineer

In short

AI Security Engineer designing and enforcing AI security guardrails across AWS and Azure, focused on agentic frameworks, LLM attack surfaces, threat modeling, and secure SDLC integration. The role requires 5+ years in Security/Application/Cloud Security and 1–2+ years securing AI or ML systems, with hands-on work in Python, Kubernetes, Terraform, and SIEM integration, plus mapping controls to FFIEC, SOC 2, and PCI DSS. Hybrid role based in Jerusalem, three days per week in office, requiring written English and Hebrew.

About the Role
You will design and enforce AI security guardrails across AWS and Azure. You will assess agentic frameworks, coding agents, and AI vendors; threat-model AI systems; build security monitoring; and integrate secure-by-default controls into the SDLC. You will document audit evidence, conduct AI red-teaming, and provide safe AI development guidance.
Requirements
•5+ years of experience in Security Engineering, Application Security, Cloud Security, or a similar field
•1–2+ years of experience securing AI, machine-learning, or data-intensive systems
•Experience with AWS or Azure
•Experience with Python, TypeScript, REST, gRPC, containers, Kubernetes, and Terraform
•Understanding of LLM attack surfaces and mitigation patterns
•Experience assessing agentic architectures and AI coding assistants for secure enterprise deployment
•Knowledge of OAuth2, OIDC, service principals, role tokens, PIM, secret management, and KMS
•Experience with observability, telemetry, and SIEM integration
•Experience translating controls into developer libraries, documentation, and CI/CD checks
•Experience mapping controls to FFIEC, SOC 2, and PCI DSS
•Written communication skills in English and Hebrew
Responsibilities
•Design enterprise AI guardrails across Azure and AWS
•Define secure usage patterns and data-governance controls for agentic frameworks and coding agents
•Threat-model AI systems and build mitigations for misuse scenarios
•Build privacy-preserving monitoring and telemetry for AI systems
•Integrate AI security controls into the SDLC
•Evaluate third-party AI vendors and internal applications
•Map AI controls to FFIEC, SOC 2, and PCI DSS and document audit evidence
•Lead or participate in AI red-teaming and incident-response planning
•Create guidelines, examples, and training for safe AI development and use
Benefits
•Flexible hybrid work model with three days per week at the Jerusalem office
•Monthly wellness reimbursement
•Keren Hishtalmut
•Private health insurance
•Dental insurance
•Volunteer days
•Donation matching
•Yoga and Pilates

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