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 partner with security leaders and practitioners to identify, evaluate, and deploy AI-enabled cybersecurity workflows. You will lead discovery, build demos and prototypes, scope pilots, advise on safe implementation patterns, create reusable field assets, and turn customer feedback into practical improvements.
Requirements
- 5+ years of customer-facing technical consulting, solutions engineering, security architecture, cyber advisory, deployment engineering, or professional-services experience
- Cybersecurity expertise in application security, cloud security, identity, vulnerability management, secure SDLC, incident response, detection engineering, threat intelligence, red teaming, or security architecture
- Ability to communicate with security executives and technical practitioners
- Experience building prototypes or production systems with APIs, Python or JavaScript, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, or security tooling
- Knowledge of retrieval, structured outputs, tool use, evaluations, guardrails, telemetry, sandboxing, and human-in-the-loop review
- Experience scoping ambiguous customer pilots with metrics, data, integrations, evaluations, assumptions, and decision gates
Responsibilities
- Embed with strategic customers as the technical lead for AI-enabled cybersecurity workflows
- Lead discovery across application security, DevSecOps, SOC and 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, evaluations, and security constraints
- Advise on safe AI implementation patterns and human approval points
- Translate between executive outcomes and practitioner-level implementation details
- Create reusable field assets and technical guidance
- Deliver customer feedback to product, engineering, research, security, and go-to-market teams
Benefits
- Relocation support for new employees