IT AI Security Architect

Description Company Overview: Cellebrite’s (Nasdaq: CLBT) mission is to enable its global customers to protect and save lives by enhancing digital investigations and intelligence gathering to accelerate justice in communities around the world. Cellebrite’s AI-powered Digital Investigation Platform enables customers to lawfully access, collect, analyze and share digital evidence in legally sanctioned investigations while preserving data privacy. Thousands of public safety organizations, intelligence agencies and businesses rely on Cellebrite’s digital forensic and investigative solutions—available via cloud, on-premises and hybrid deployments—to close cases faster and safeguard communities. To learn more, visit us at www.cellebrite.com, https://investors.cellebrite.com/investors and find us on social media @Cellebrite. Position overview: We're looking for an experienced AI Security Architect to join the Security Architecture team. As a AI Security Architect, you'll design and govern enterprise AI security frameworks, define controls for AI/ML platforms and LLM deployments, and drive secure AI adoption in close collaboration with engineering, business units, and data teams. You'll own security architecture reviews, threat modeling, and risk assessments across the full AI lifecycle - from development through production. Key Responsibilities: Design, develop, and maintain enterprise AI security architectures, frameworks, standards, and policies Define and implement security controls for AI/ML platforms, LLM deployments, AI-enabled applications, and supporting infrastructure Establish security requirements and best practices for AI development, deployment, and operational processes Assess AI-related risks and ensure alignment with corporate security standards, regulatory requirements, and industry best practices Collaborate with IT, cloud, data, and security teams to ensure secure deployment of AI solutions across the organization Familiarity with AI coding assistants, autonomous agents, LLM frameworks, and orchestration systems Requirements 5+ years of experience in Information Security, Security Architecture, or Cybersecurity Engineering 2+ years of experience securing AI, machine learning, Generative AI, or LLM-based environments Strong understanding of AI/ML architectures, cloud security, and modern enterprise security controls Deep understanding of identity and authentication standards such as OIDC, OAuth, SAML Experience conducting security architecture reviews and risk assessments Experience leading technical projects, POCs, and enterprise technology implementations Knowledge of AI security threats, attack techniques, and mitigation strategies Ability to work independently and collaboratively in a constantly evolving environment Excellent communication and interpersonal skills #LI-HI1