安全架构师，代理AI

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.

Role

We are looking for an Agentic AI - Architect/Security Engineer to join our team. This is a fully remote U.S. role, reporting to the VP, Information Security Engineering in the Exposure Management & Security Operations department. We’re looking for a hands-on Security Architect/Engineer to build and ship security capabilities for agentic AI systems—LLM apps that plan, use tools, manage memory, and leverage enterprise data. This is an implementation-focused role where you will deliver production code, secure building blocks, and reference implementations for both IT and Product teams.

What you’ll do (Role Expectations)

• Build secure agent runtimes, libraries, and reference implementations while implementing core agent patterns like planner/executor, tool routing, and RAG boundaries

• Build and secure MCP servers, clients, tool registries, and connector patterns with robust authentication, authorization, and audit logging

• Enforce secure-by-default controls including schema validation, tool allowlists, redaction, and policy checks

• Threat model and test agent workflows for prompt injection and data exfiltration to build repeatable security evaluations

Who You Are (Success Profile)

• You thrive in ambiguity. 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 act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain

• Extensive experience designing and implementing agent runtimes including planning, tool calling, and memory/state controls

• 8+ years of experience shipping production security engineering solutions with strong coding skills in Python, TypeScript, or Node

• Practical experience integrating frontier model APIs with structured outputs, streaming, and safety controls

• Familiarity with agent frameworks such as LangGraph, LangChain, or Semantic Kernel securely paired with solid cloud and Kubernetes security engineering experience

What Will Make You Stand Out (Preferred Qualifications)

• Experience designing advanced guardrail architectures or real-time alignment enforcement mechanisms for autonomous multi-agent orchestration

• Familiarity with OWASP LLM Top 10, MITRE ATLAS, or the NIST AI RMF, and experience building red-team style testing or evaluation harnesses for LLM applications and agents

• Strong background in data security for RAG, including retrieval authorization and tenancy boundaries

#LI-Remote #LI-JG1
Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.

The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.

Base Pay Range
$182,000—$260,000 USD

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.