Z

Zip

Interest-free BNPL payments provider internationally

Principal AI Security Engineer

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Demonstrated Staff- or Principal-level technical leadership in security engineering, application security, or cloud security.
  • Deep security engineering experience and demonstrable hands-on work with large language model or agent systems in production, open source, internal platforms, or published research.
  • Intimate familiarity with OWASP Top 10 for LLM Applications, MITRE ATLAS, and NIST AI RMF.
  • Strong understanding of large language model architectures, agentic systems, retrieval-augmented generation, and modern AI development frameworks.
  • Experience building AI security evaluations, red-teaming capabilities, and model security gateways, and securing AI systems against prompt injection, data leakage, tool abuse, and unauthorized access.
  • Strong software engineering skills, including proficiency in Python or another modern programming language.
  • Experience with cloud-native architectures, APIs, containers, identity and access management, and modern software delivery practices.
  • Ability to design and implement security controls, automation, and reusable engineering components.
  • Experience threat modeling complex systems and translating security requirements into practical solutions.
  • Experience with LangChain, LangGraph, Semantic Kernel, OpenAI APIs, Azure AI, Google Vertex AI, or similar technologies is highly regarded.
  • Experience securing MCP servers, autonomous coding agents, or agentic workflows is highly regarded.
  • Experience with Microsoft Azure, Google Cloud Platform, Terraform, Kubernetes, and CI/CD security is highly regarded.
  • Experience in financial services, payments, or other regulated environments is highly regarded.

Responsibilities

  • Lead the technical direction for securing AI applications, autonomous agents, and AI-enabled engineering workflows.
  • Architect and build scalable security controls for large language model applications, retrieval-augmented generation systems, and agentic AI platforms.
  • Develop AI security testing, automation, and secure-by-default engineering practices.
  • Define and implement security architecture for large language model applications, retrieval-augmented generation, autonomous agents, and AI-powered products.
  • Engineer protections against prompt injection, data exfiltration, insecure tool execution, excessive agency, and other AI-specific threats.
  • Establish secure patterns for model access, non-human identity access, authorization, secrets management, and sensitive data protection.
  • Design security boundaries for AI agents interacting with enterprise systems, APIs, databases, and cloud infrastructure.
  • Establish secure-by-default patterns that allow developers to adopt AI without bypassing security controls.
  • Develop secure harnesses and guardrails for AI coding assistants, autonomous development agents, and AI-generated software.
  • Secure MCP servers, agent tool integrations, and AI-enabled development workflows.
  • Build reusable security components, APIs, and automation that integrate directly into engineering platforms and CI/CD pipelines.
  • Build automated security testing and evaluation capabilities for AI applications and agents.
  • Develop approaches for AI red teaming, prompt injection testing, and security regression testing.
  • Implement monitoring and detection for suspicious AI behavior, unauthorized tool execution, and sensitive data exposure.
  • Respond to incidents involving agent misalignment, including agents exceeding authority or taking unauthorized actions, and partner with the Agentic Platform team on controls to prevent recurrence.
  • Leverage AI to automate security engineering activities, including threat modeling, vulnerability analysis, and remediation.
  • Establish Zip's technical direction and engineering standards for AI security.
  • Partner with engineering teams to take secure AI solutions from architecture through production.
  • Design risk-tiering logic aligned with Zip's five-level AI automation classification.
  • Co-own the security evaluation framework for new AI models and third-party tools; evaluate emerging AI technologies and security capabilities and make build-versus-buy decisions.
  • Mentor engineers and influence technical decisions across security, platform engineering, and software development.

Desired Qualifications

  • Experience with LangChain, LangGraph, Semantic Kernel, OpenAI APIs, Azure AI, Google Vertex AI, or similar technologies.
  • Experience securing MCP servers, autonomous coding agents, or agentic workflows.
  • Familiarity with OWASP Top 10 for LLM Applications, MITRE ATLAS, and NIST AI RMF.
  • Experience with Microsoft Azure, Google Cloud Platform, Terraform, Kubernetes, and CI/CD security.
  • Experience in financial services, payments, or other regulated environments.

About the Company

Zip

Interest-free BNPL payments provider internationally

Zip Co provides buy now, pay later (BNPL) services that let people buy things now and pay over time without interest. It operates in markets including Australia, New Zealand, the United Kingdom, the United States, Canada, and Mexico, serving both individual consumers and businesses. Its main products are Zip Pay (for everyday purchases) and Zip Money (for larger expenses). Revenue comes from merchant fees, late fees, and interest on certain products. Zip partners with retailers to offer convenient, transparent payment options that help customers manage their finances, with a focus on simple terms and clear due dates. The company aims to expand globally and grow its market presence by providing flexible, easy-to-use payment solutions that simplify the purchasing process.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Sydney NSW, Australia
Founded
2013

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