Principal AI Security Specialist

The role

This person will serve as a technical advisor to customers on secure AI adoption. They will configure and demo Zscaler's AI security solutions and support proofs of concept for complex enterprise opportunities.

What you will do

• Partner with account teams and Solutions Engineering on technical strategy for AI Security opportunities.
• Run discovery with customers on AI initiatives, GenAI use cases and security requirements.
• Configure and deliver demos of Zscaler's AI security solutions.
• Support proofs of concept, proofs of value and technical evaluations.
• Advise customers on securely enabling AI use across the enterprise, including data protection and policy enforcement.
• Explain AI and security concepts to technical, security and executive audiences.
• Act as subject matter expert on LLMs, RAG, agents and enterprise AI architectures.
• Give field feedback to Product and Engineering.
• Build reusable demos, technical assets and enablement content.
• Represent Zscaler in executive briefings, workshops, webinars and events.

Required qualifications

• 5+ years in a customer-facing technical role such as Sales Engineering, Solutions Consulting, Solutions Architecture, Customer Engineering or Technical Advisory.
• Deep understanding of LLMs, RAG, agents, MCP and orchestration patterns, prompt workflows, and model safety and governance concepts.
• Experience configuring, demonstrating and presenting technical solutions in complex enterprise sales cycles.
• Ability to connect technical capabilities to business value and security outcomes.
• Strong presentation, demo and communication skills.
• Familiarity with enterprise architecture, cloud environments, APIs, application workflows and integration patterns.
• Strong understanding of cybersecurity principles, in one or more areas such as cloud security, data security, zero trust, secure access, or governance and policy controls.
• Ability to work cross-functionally with Sales, Solutions Engineering, Product, Engineering and Marketing.

Nice to have

• Experience in AI security, secure AI adoption, model governance or AI-related risk management.
• Experience helping enterprises evaluate or deploy AI in production.
• Hands-on experience building prototypes, demo environments or lightweight AI applications.
• Hands-on experience deploying infrastructure in public cloud.
• Familiarity with enterprise AI concerns such as data leakage, policy violations, compliance and third-party AI tools.
• 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, workshops and playbooks.
• Familiarity with security platforms, cloud-native architecture and modern SaaS security models.

Benefits

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

Before you apply

• Applicants must comply with applicable laws, regulations and Zscaler security and privacy policies.

About the company

Zscaler is a security company whose Zero Trust Exchange platform protects customers from cyberattacks and data loss. The company describes itself as building an AI-native enterprise.