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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in security engineering for AI initiatives, focusing on secure AI Development Lifecycle controls, internal security tools, and compliance with industry standards. Proficient in integrating security into CI/CD pipelines and assessing AI-related security threats across various domains.
Highest-signal resume keywords
Security Engineering ExperienceAI Development Lifecycle ExpertiseAzure Cloud Security ProficiencyInternal Security Tools DevelopmentCompliance Framework Familiarity
ATS Keywords
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Hard Skills
Security EngineeringAI Development LifecycleAzure Cloud ProductsNetwork SecurityBash ScriptingPython ProgrammingPowerShell ScriptingInfrastructure as CodeKubernetesDocker
Tools & Technologies
Microsoft FoundryEntra IDSIEMThreat IntelligenceVulnerability ManagementCloud Security Posture ManagementAutomation ToolsGovernance PlatformsSecurity AuditsSOAR Solutions
Certifications & Qualifications
PCI-DSSSOC IIISO27001
Industry Keywords
AI Security FrameworksOWASP Top 10NIST AI RMFCompliance StandardsAudit EvidenceData ProtectionAccess ControlMonitoringVulnerability VisibilitySecrets Management
Tech Stack
Tools & technologiesAzureCloudDockerKubernetesLinuxMacOSPythonSDLCTerraform
About the role
Key responsibilities & impact- Lead security engineering activities for AI initiatives, including designing and implementing secure AI Development Lifecycle controls, guardrails, and security tools
- Build, evaluate, and operationalize internal security tools for AI application security, prompt and agent governance, data protection, access control, monitoring, and compliance readiness
- Drive the Corporate Harness project by integrating security controls into CI/CD pipelines, improving secrets management, policy enforcement, vulnerability visibility, and secure deployment practices
- Participate as a security representative in the AI Hub committee, providing technical security guidance, risk assessment, and approval criteria for AI use cases and internal AI capabilities
- Define and maintain AI governance requirements, including acceptable-use guardrails, data-handling rules, model and agent security reviews, audit evidence, and alignment with enterprise security and compliance standards
- Assess, test, and improve AI-related security controls across cloud, identity, data protection, application security, logging, and monitoring domains
- Identify emerging AI security threats, misuse scenarios, and governance gaps, translating them into controls, remediation plans, and secure implementation standards
- Embed security best practices and policies into AI systems, security tooling, development workflows, and automation platforms from design through production operation
- Work closely with the CISO and key stakeholders; report to the Technical Security Operations Manager
Requirements
What you’ll need- 5+ years of hands-on experience in security engineering, with deep expertise in multiple IT security domains
- Experience designing or contributing to an AI Development Lifecycle / AI SDLC / ADLC program
- Experience reviewing or securing LLM-based applications, AI agents, copilots, Claude, chatbots, automation tools, or internal AI platforms
- Familiarity with AI security frameworks such as OWASP Top 10 for LLM Applications, NIST AI RMF, or similar guidance
- Experience building internal security tools, automation scripts, dashboards, approval workflows, or governance platforms
- Familiarity with Microsoft Foundry, Entra ID, Azure security tools, or similar enterprise security platforms
- Experience with Kubernetes, containers, infrastructure as code, or cloud-native security
- Proven expertise in Azure cloud products, identity providers, SIEM, threat intelligence and vulnerability management, directory services, AI vulnerability assessment solutions, and cloud security posture management
- Strong experience securing AI on Windows, Linux, and macOS environments
- Advanced knowledge of network security and protocols, with the ability to secure complex network environments
- Hands-on experience with Bash, Python, or PowerShell, and infrastructure-as-code tools such as Terraform or CloudFormation
- Familiarity with compliance frameworks and certification programs including PCI-DSS, SOC II, and ISO27001, with the ability to manage security audits and maintain compliance
- Preferred: experience with security design, threat modeling, and security audits
- Preferred: familiarity with Kubernetes and Docker
- Preferred: SOAR solutions
Benefits
Comp & perks- Private Medical Insurance
- Hybrid working model (office and home)
- Global bonus plan
- Volunteering programs
- Prime office location near the Tel Aviv train station
