Applied AI Engineer Cyber
AI research and deployment company building and deploying frontier AI products, including ChatGPT, Codex, and its API platform.
Maintainer signals as of 9/25/2026
Projects
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.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
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