Principal AI Security Specialist - East
Zscaler
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 200+ public data centers globally and thousands of private sites 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. Ready to make an impact at the company pioneering security transformation in the AI era? The AI revolution is here, and enterprises are racing to adopt GenAI—but they cannot deploy what they cannot secure. Zscaler is seeking an experienced Principal AI Security Specialist to bridge the gap between cutting-edge AI innovation and robust enterprise security. In this highly strategic, field-facing role, you will combine the elite consultative strengths of a Solutions Engineer with deep expertise in LLMs, RAG architectures, and data protection. As our premier technical authority, you will partner with Fortune 500 executives and architects, serving as a trusted advisor to help them confidently unlock the power of AI without compromising their data or infrastructure. Architect the AI Technical Strategy: Partner with enterprise account teams to own and execute the technical sales strategy, driving complex, high-value AI security opportunities from discovery to close. Deliver Compelling, High-Impact Demos & POVs: Configure and present tailored, outcome-driven demonstrations of Zscaler’s AI security platform that resonate with both deep-tech practitioners and C-level executives. When needed, take customers through successful demos and POVs to validate Zscaler’s ability to securely enable enterprise AI. Serve as a Subject Matter Expert: Act as the field authority on modern AI patterns (such as RAG, agents, and prompt workflows), advising clients on how to prevent sensitive data exposure and unsanctioned AI usage. Scale the Field Motion: Collaborate with Product and Engineering to inject real-world customer feedback into the product roadmap, while building reusable demo assets and enablement playbooks to upscale our global sales force. Enable Those Around You: Develop reusable demos, technical assets, competitive positioning, and enablement content to help scale Zscaler’s AI field motion while sharing best practices and training with enterprise account teams You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. You are customer-obsessed. You build deep empathy for the customer—both internal and external—and anchor your decisions in solving their real-world problems. You believe in the power of technology to accelerate transformation and are always looking for a better, more secure, and scalable way. Deep Fluency in AI/GenAI: Strong foundational knowledge of Large Language Models (LLMs), retrieval-augmented generation (RAG), MCP (Model Context Protocol) orchestration patterns, and the inherent security risks associated with them.
- A proven track record in a customer-facing technical role (Sales Engineering, Solutions Architecture, or Technical Advisory) navigating complex, enterprise-level sales cycles.
- Enterprise Security Foundations: Solid grasp of cybersecurity principles, including Zero Trust architecture, data loss prevention (DLP), cloud-native security platforms, and API integrations.
- Elite Executive Communication: Exceptional presentation and storytelling skills, with a demonstrated ability to seamlessly translate complex AI architectures into tangible business value and security outcomes.
- Hands-on AI Prototyping: Interacting with LLM APIs, scripting, creating agentic automation routines, and building lightweight AI applications.
$175.88k - $251.25k
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