Zip

Zip is a leading global 'Buy Now, Pay Later' company that provides fair and seamless financial solutions. With a mission to be the first payment choice everywhere, Zip offers transparent, flexible, and interest-free credit to consumers, merchants, and ...

Banks

Financials

1001-5000 (1498)

Founded 2013

$823M raised

3 open positions

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Principal AI Security Engineer

7 hours, 15 minutes ago

United States

Full-time

Lead

AI (Artificial Intelligence)

Artificial Intelligence and Machine Learning

Azure CI/CD GCP Kubernetes LLM Python Secrets Management Terraform

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Zip

Banks

1001-5000

Founded 2013

$823M raised

View All Jobs 3

Description

Define and implement security architecture for LLM applications, RAG systems, autonomous agents, and AI-powered products.
Build protections against prompt injection, data exfiltration, insecure tool execution, excessive agency, and unauthorized access.
Establish secure patterns for model and 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.
Develop secure-by-default patterns, guardrails, and harnesses for AI coding assistants and autonomous development agents.
Build reusable security components, APIs, and automation integrated with engineering platforms and CI/CD pipelines.
Create automated AI security testing, red-teaming, prompt-injection testing, regression testing, monitoring, and detection capabilities.
Lead incident response for AI agent misalignment and partner with platform teams to prevent recurrence.
Set AI security standards, risk-tiering logic, and evaluation frameworks for new models and third-party tools.
Mentor engineers and influence technical decisions across security, platform engineering, and software development.

Requirements

Demonstrated Staff- or Principal-level technical leadership in security engineering, application security, or cloud security.
Deep hands-on experience building and securing LLM or agent systems in production, open-source, internal-platform, or research environments.
Strong knowledge of LLM architectures, agentic systems, RAG, and modern AI development frameworks.
Experience securing AI systems against prompt injection, data leakage, tool abuse, excessive agency, and unauthorized access.
Experience building AI security evaluations, red-teaming capabilities, model security gateways, and security automation.
Familiarity with OWASP Top 10 for LLM Applications, MITRE ATLAS, and NIST AI RMF.
Proficiency in Python or another modern programming language.
Experience with cloud-native architectures, APIs, containers, IAM, and modern software delivery practices.
Experience threat modeling complex systems and translating security requirements into practical controls.
Experience with LangChain, LangGraph, Semantic Kernel, OpenAI APIs, Azure AI, Google Vertex AI, MCP servers, or agentic workflows is preferred.
Experience with Azure, GCP, Terraform, Kubernetes, CI/CD security, or regulated financial-services environments is preferred.
Must be US-based; visa sponsorship is not available.

Benefits

Annual base salary range of $203,000-$254,000, with potential bonus and/or commission awards.
Remote-first work arrangement with access to the Manhattan Union Square office.
Flexible working culture and unlimited PTO.
Generous paid parental leave and family support policies.
Company-sponsored 401(k) match.
Employer-sponsored insurance for employees and dependents, including 100% Zip-covered plan options.
Learning and wellness subscription stipend.
Incentive programs and a casual office dress code.