Principal AI Security Specialist

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange™️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Principal AI Security Specialist About the Role Zscaler is seeking an experienced AI Security Specialist to help customers securely adopt and operationalize AI across the enterprise. This role is designed for a customer-facing technical expert who combines the consultative strengths of a Solutions Engineer / Solutions Consultant with deep expertise in AI, GenAI architectures, and AI security. The AI Security Specialist will partner closely with Sales, Solutions Engineering, Product, and customers to configure, demonstrate, and position Zscaler’s AI security solutions. This individual will serve as a trusted advisor on secure AI adoption, helping customers understand how to protect data, enforce policy, reduce risk, and enable safe use of AI technologies across users, applications, and workflows. This is a highly strategic, technical, and field-facing role for someone who can engage in executive conversations, lead architecture discussions, deliver compelling demos, and support technical validation for complex enterprise opportunities. What You’ll Do Partner with account teams and core Solutions Engineering teams to drive the technical strategy for AI Security-related opportunities. Engage customers in discovery around AI initiatives, GenAI use cases, enterprise architecture, security requirements, and adoption challenges. Configure and deliver compelling demos of Zscaler’s AI security solutions, tailored to customer priorities and business outcomes. Support proofs of concept, proofs of value, and technical evaluations for strategic AI-related opportunities. Advise customers on how to securely enable AI usage across the enterprise, including data protection, policy enforcement, user access, governance, and risk mitigation. Translate complex AI and security concepts into clear, actionable value for technical, security, and executive stakeholders. Serve as a subject matter expert on modern AI technologies, including large language models (LLM), retrieval-augmented generation (RAG), agents, prompt workflows, model usage patterns, and emerging enterprise AI architectures. Help customers understand the security implications of enterprise AI adoption, including sensitive data exposure, unsanctioned AI usage, governance gaps, and operational risk. Collaborate with Product and Engineering to provide field feedback, influence roadmap priorities, and improve product positioning based on customer needs. Develop reusable demos, technical assets, competitive positioning, and enablement content to help scale Zscaler’s AI field motion. Enable internal teams on AI trends, AI security use cases, market messaging, and customer objections. Represent Zscaler in executive briefings, customer workshops, webinars, and industry events related to AI security and secure AI transformation. What We’re Looking For 5+ years of experience in a customer-facing technical role such as Sales Engineering, Solutions Consulting, Solutions Architecture, Customer Engineering, or Technical Advisory. Deep understanding of modern AI and GenAI technologies, including: Large language models (LLMs) Retrieval-augmented generation (RAG) Agents, MCP and orchestration patterns Prompt workflows Model usage considerations, safety, and governance concepts Experience configuring, demonstrating, and presenting technical solutions in complex enterprise sales cycles. Strong ability to connect technical capabilities to business value, security outcomes, and customer priorities. Strong presentation, demo, and communication skills, with the ability to engage architects, practitioners, security leaders, and executives. Familiarity with enterprise architecture, cloud environments, APIs, application workflows, and integration patterns. Strong understanding of cybersecurity principles, with experience in one or more areas such as: cloud security data security ze