Zscaler Security Architect at Zscaler focused on building and securing agentic AI systems including runtimes, libraries, and reference implementations. Responsible for threat modeling and enforcing secure-by-default controls.
Responsibilities
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
Qualification
You thrive in ambiguityYou act like an ownerYou are a problem-solverYou are a high-trust collaboratorYou are a learner
Required
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.
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
