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 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. 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
zero trust architecture
secure access
governance and policy controls

Ability to work cross-functionally with Sales, Solutions Engineering, Product, Engineering, Marketing, and other go-to-market teams.
Comfort operating in a fast-moving market where AI technologies, buyer expectations, and competitive positioning continue to evolve.

Preferred Qualifications

Experience in AI security, secure AI adoption, model governance, or AI-related risk management.
Experience helping enterprises evaluate or deploy AI technologies in production environments.
Hands-on experience building prototypes, demo environments, or lightweight AI applications.
Hands on experience with deploying infrastructure in public cloud
Familiarity with enterprise concerns around AI usage, including data leakage, policy violations, compliance, third-party AI tools, and governance.
Experience supporting strategic accounts and complex technical buying cycles.
Background in Python, APIs, scripting, or solution prototyping.
Experience creating reusable field assets such as demo content, reference architectures, technical workshops, and playbooks.
Familiarity with security platforms, cloud-native architecture, and modern SaaS security models.

Success in This Role Looks Like

You become a trusted advisor to customers on both AI innovation and AI risk reduction.
You help customers understand how Zscaler enables secure, scalable adoption of AI across the enterprise.
You deliver high-impact demos and technical engagements that connect Zscaler’s capabilities to real customer priorities.
You improve technical win rates for AI-related opportunities through strong discovery, positioning, and technical validation.
You help the field scale through reusable assets, crisp messaging, and practical AI security guidance.
You provide actionable customer insight that sharpens product strategy and go-to-market execution.

Why This Role Matters

Enterprises are rapidly adopting AI, but they are doing so in an environment filled with security, governance, and data protection concerns. Zscaler is uniquely positioned to help customers enable AI safely through zero trust principles, secure access, policy enforcement, and protection of sensitive data.

The AI Security Specialist plays a critical role in that mission by helping customers move from AI experimentation to secure, enterprise-wide adoption with confidence.

#LI-RS1

At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.

Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:

Various health plans
Time off plans for vacation and sick time
Parental leave options
Retirement options
Education reimbursement
In-office perks, and more!

Learn more about Zscaler's hybrid working model and benefits here.

By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.

Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.

Pay Transparency

Zscaler complies with all applicable federal, state, and local pay transparency rules.

Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

Zscaler

Principal AI Security Specialist

About the Job

Requirements

Responsibilities

Desired Qualifications