Cybersecurity AI Engineer — Production-Grade AI Workflows

OpenAI; California (MO); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Relocation support

Job summary

OpenAI is seeking a Cybersecurity Applied AI Engineer to collaborate with customers, applying OpenAI models, Codex, and agentic workflows to security use cases from secure code review to threat modeling. You will engage CISOs and hands-on security teams, delivering demos, pilots, and safe deployment patterns.

Based in San Francisco, OpenAI offers relocation support and a path to drive impactful AI security at scale.

Qualifications

• 5+ years of technical consulting or equivalent customer-facing technical experience.
• Expertise across AppSec, cloud security, identity, vulnerability management, secure SDLC, incident response, detection engineering, threat intelligence, red teaming, or security architecture.
• Ability to communicate credibly with CISOs, CTOs, security executives and technical practitioners.
• Hands-on experience building prototypes or production systems with APIs, Python or JavaScript, agents, scripts, CLIs, GitHub workflows, CI/CD, logs, tickets, scanners, or other security tooling.
• Understand AI workflows with retrieval, structured outputs, tool use, evals, guardrails, telemetry, sandboxing, and human-in-the-loop review.
• Comfort scoping pilots with success metrics, required data, workflow integrations, evaluation criteria, deployment assumptions, and decision gates.
• Evidence-first security judgment: validate findings, document assumptions, and avoid overstating model or security claims.
• Own problems end-to-end, operate with high throughput across multiple concurrent customer projects.
• Humble attitude, eagerness to help colleagues, and commitment to team and customer success.

Responsibilities

• Embed with strategic customers as the technical lead for AI-enabled cybersecurity workflows.
• Lead discovery across AppSec, DevSecOps, vulnerability management, SOC/IR, detection engineering, red team, cloud security, identity, and GRC automation use cases.
• Build and deliver customer-facing demos, prototypes, workshops, proofs of concept, and reference architectures using OpenAI APIs, Codex, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, and security tools.
• Scope pilots with clear success criteria, data requirements, workflow integrations, evaluation methods, security constraints, safety boundaries, and human approval points.
• Advise customers on safe implementation patterns, including tool and function calling, structured outputs, retrieval, sandboxing, data handling, guardrails, telemetry, auditability, and approvals.
• Translate between CISO-level outcomes and practitioner-level implementation details for clear value, risk, and next steps.
• Create reusable field assets such as playbooks, FAQs, objection handling, qualification guides, assessment templates, and competitive positioning.
• Validate, synthesize, and deliver high-signal feedback to Product, Engineering, Research, Security, and GTM teams from customer requirements.

Skills

Technical consulting

Security architecture

Cyber advisory

Python

JavaScript

GitHub workflows

CI/CD

APIs

Security tooling

Tools

OpenAI APIs

Codex

Agents

Job description

OpenAI is seeking a Cybersecurity Applied AI Engineer to collaborate with customers, applying OpenAI models, Codex, and agentic workflows to security use cases from secure code review to threat modeling. You will engage CISOs and hands-on security teams, delivering demos, pilots, and safe deployment patterns.

Based in San Francisco, OpenAI offers relocation support and a path to drive impactful AI security at scale.