H

Horizon3.ai

Autonomous pentesting SaaS for vulnerabilities

Principal Attack Engineer - AI/LLM

Offensive Security & TestingConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • Exceptional Python and software engineering expertise, with deep experience designing systems that are secure, reliable, observable, and operable at scale.
  • Deep expertise in offensive security, penetration testing, exploit development, vulnerability research, or a closely related discipline.
  • Recognized expertise in AI/LLM and agentic-system security, including the ability to identify novel attack paths and translate them into durable technical strategy.
  • Deep command of the OWASP Top 10 for LLM Applications and MITRE ATLAS, combined with the judgment to extend beyond existing frameworks.
  • A track record of shipping or shaping high-impact security capabilities, platforms, research programs, or technical standards across multiple teams.
  • Demonstrated ability to define long-term technical vision, resolve the company’s hardest ambiguous problems, and drive execution through influence rather than direct authority.
  • Company-wide technical judgment: ability to make consequential tradeoffs across product value, safety, reliability, cost, speed, and maintainability.
  • Proven ability to develop senior technical talent and multiply the mentorship capacity of an engineering organization.
  • Self-motivated, highly credible, and deeply engaged with the direction of the AI security industry.

Responsibilities

  • Define the long-term technical vision for AI/LLM offense and its role in NodeZero and the company’s broader product strategy.
  • Partner with senior engineering, product, and business leadership to shape priorities, investment decisions, risk posture, and the roadmap for AI/LLM offensive capabilities.
  • Set direction for the most complex, high-risk, and business-critical AI/LLM programs; establish the outcomes and decision principles against which teams execute.
  • Lead cross-company initiatives that require alignment across Attack Engineering, Platform, Product, customer-facing teams, and other technical functions.
  • Diagnose systemic blockers in architecture, process, operating model, or technical capability and drive durable resolution.
  • Define company-wide standards for reliability, safety, observability, evaluation, testing, cost management, and operational readiness in LLM-powered offensive systems.
  • Develop P5 engineers and other senior technical leaders, multiplying the organization’s capacity to reason about and deliver AI/LLM security capabilities.
  • Communicate with executives, technical leaders, and external stakeholders, and guide the organization through major technical transitions.
  • Own NodeZero’s coverage strategy for the OWASP Top 10 for LLM Applications, including prompt injection, sensitive information disclosure, system prompt leakage, improper output handling, excessive agency, vector and embedding weaknesses, and data and model poisoning; define further coverage for multi-agent and tool-connected systems.
  • Set the company’s research and productization agenda for breaking AI and agentic systems, balancing technical opportunity, customer impact, safety, and strategic differentiation.
  • Identify novel, high-leverage attack classes and establish the frameworks, abstractions, and coverage models needed to make them repeatable in NodeZero.
  • Direct the company’s approach to prompt injection, defense evasion, tool-use exploitation, context poisoning, remote code execution, data exfiltration, privilege escalation, and other agentic attack paths.
  • Set technical direction for assessing AI infrastructure, including model serving, training pipelines, vector databases, GPU/MLOps tooling, and enterprise deployment architectures.
  • Evaluate the strategic significance of model and supply-chain attacks, including poisoning, training-data extraction, adversarial inputs, and deployment-pipeline abuse, and determine the company’s response.
  • Establish a durable threat-modeling approach for agentic systems that accounts for trust boundaries, identities, permissions, tools, data sources, downstream systems, and business impact.
  • Ensure research becomes safe, reliable, scalable product capability rather than isolated expertise or one-off demonstrations.
  • Serve as the internal technical authority on novel AI/LLM offensive problems and, where appropriate, represent the company through technical writing, talks, research, or open-source contributions.
  • Set the long-term architecture for LLM-powered offensive applications, agentic workflows, evaluation systems, and their integration with NodeZero.
  • Establish company-wide principles for cost, safety, hallucination guardrails, reliability, observability, evaluation quality, and operational risk.
  • Guide the architecture of microservices and shared platforms that orchestrate LLM tasks across offensive workflows.
  • Lead architectural transformations when the existing approach cannot support company scale, product ambitions, or safety requirements; document the vision, build the case, and bring engineers and leadership along.
  • Ensure the organization can operate and improve these systems over time through strong ownership, incident learning, measurable quality standards, and sustainable technical practices.

Desired Qualifications

  • Experience setting technical direction or architecture across an engineering organization or multiple product areas.
  • Industry-level contributions to AI security research through influential publications, conference talks, CVEs, open-source projects, or widely adopted techniques.
  • Experience shaping strategy for cloud AI platforms such as AWS Bedrock, AWS Agent Core, Azure OpenAI, or Google Vertex AI.
  • Deep experience with agentic architectures, tool-use security, retrieval systems, vector databases, graph databases such as Neo4j, or AI infrastructure security.
  • Background in traditional exploit development, vulnerability research, or building offensive security platforms at significant scale.
  • CTF experience, particularly in AI/ML-focused challenge categories.
  • A record of strengthening a company’s technical credibility, recruiting reach, or market position through external technical leadership.

About the Company

Horizon3.ai

Autonomous pentesting SaaS for vulnerabilities

Horizon3.ai specializes in cybersecurity by offering NodeZero, a SaaS platform for autonomous penetration testing. It lets enterprises simulate cyber-attacks on their own systems in a self-service way, without installing persistent agents, and without ongoing human intervention. The platform works by running security-focused attack simulations in production environments to uncover exploitable vulnerabilities and weak controls, delivering vulnerability assessments, threat simulations, and compliance-oriented testing through tiered subscription plans. This approach differentiates Horizon3.ai from traditional pentesting by being self-service, agentless, and safe to run in live environments, while targeting enterprise customers that must meet standards such as PCI DSS. The company aims to help organizations improve their security posture, prioritize remediation, and maintain regulatory compliance by continuously identifying and fixing weaknesses.

Company size
501-1,000
Company stage
Series E
Total funding
$437M
Headquarters
San Francisco, CA
Founded
2019

Recently Posted Jobs

Explore more opportunities at Horizon3.ai

See more jobs