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Applied AI Engineer Cyber

AI research and deployment company building and deploying frontier AI products, including ChatGPT, Codex, and its API platform.

49 current maintainers29 active leads5 new active leads117 lead step-downs16 early lead departures
San Francisco, United States
About OpenAI

OpenAI’s mission is to ensure artificial general intelligence benefits all of humanity. It consists of the nonprofit OpenAI Foundation and OpenAI Group, a public benefit corporation governed by the Foundation.

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Skills

Candidate Availability

About the Role

You will lead customer discovery and technical delivery for AI-enabled cybersecurity workflows. You will build prototypes, demos, workshops, proofs of concept, and reference architectures; scope pilots; advise on secure AI implementation patterns; translate executive and practitioner needs; and deliver customer feedback to product and engineering stakeholders.

Requirements

  • 5+ years of customer-facing technical experience in technical consulting, solutions engineering, security architecture, cyber advisory, deployment engineering, or professional services
  • Cybersecurity expertise
  • Experience with application security, cloud security, identity, vulnerability management, secure SDLC, incident response, detection engineering, threat intelligence, red teaming, or security architecture
  • Experience building prototypes or production systems with APIs, Python or JavaScript, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, or scanners
  • Experience designing AI workflows with retrieval, structured outputs, tool use, evaluations, guardrails, telemetry, sandboxing, and human-in-the-loop review

Responsibilities

  • Lead technical delivery for AI-enabled cybersecurity workflows with strategic customers
  • Lead discovery across application security, DevSecOps, vulnerability management, incident response, cloud security, identity, and GRC automation
  • Build customer-facing demos, prototypes, workshops, proofs of concept, and reference architectures
  • Scope pilots with success criteria, data requirements, integrations, evaluation methods, and security constraints
  • Advise on secure AI implementation patterns including tool calling, retrieval, sandboxing, guardrails, telemetry, and approval-gated effects
  • Translate security executive outcomes into practitioner-level implementation details
  • Create reusable field assets including playbooks, FAQs, assessment templates, and competitive positioning
  • Deliver customer feedback to product, engineering, research, security, and GTM teams

Benefits

  • Relocation support for new employees