AI Deployment Engineer, Cyber

About the Team

The AI Deployment Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers working side by side with their teams to identify high-value use cases design practical architectures and move from prototype to durable deployment.

Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code logs infrastructure tickets alerts and vulnerability data faster than ever. As frontier models become more capable organizations need deep technical guidance on how to evaluate validate and safely deploy AI systems in security-critical workflows.

About the Role

We are looking for a Cyber AI Deployment Engineer to partner with customers and help them apply OpenAI models APIs Codex and agentic workflows to real cybersecurity use cases. You will work with CISOs security executives application security leaders SOC teams security engineering teams and hands-on practitioners to identify where AI can create measurable security outcomes.

This is a customer-facing technical role for someone who can move fluidly between executive strategy practitioner-level cyber depth and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review vulnerability triage threat modeling remediation SOC and incident response workflows detection engineering cloud security GRC automation and security validation.

You will collaborate closely with Sales Solutions Engineering Product Engineering Research and Security to turn customer needs into safe deployment patterns reusable field assets and product feedback. This role is based in our Tokyo office. We offer relocation support to new employees.

In this role you will:

• Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workflows serving as a trusted partner to both security executives and technical practitioners.

• 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 common 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 approval-gated side effects.

• Translate between CISO-level outcomes and practitioner-level implementation details so each audience understands value risk and practical next steps.

• Create reusable field assets such as demo narratives 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 based on recurring customer requirements blockers product gaps and emerging cyber workflows.

You might thrive in this role if you:

• Have 5 years of technical consulting solutions engineering security architecture cyber advisory deployment engineering professional services or equivalent customer-facing technical experience.

• Bring strong cybersecurity domain expertise across one or more areas such as application security cloud security identity vulnerability management secure SDLC incident response detection engineering threat intelligence red teaming or security architecture.

• Can communicate credibly with CISOs CTOs security executives engineering leaders and highly technical security practitioners.

• Have hands-on experience building prototypes or production systems with APIs Python or JavaScript agents scripts CLIs GitHub workflows CI/CD systems logs tickets scanners or other common security tooling.

• Understand how to design AI workflows with retrieval structured outputs tool use evals guardrails telemetry sandboxing and human-in-the-loop review.

• Are comfortable scoping pilots from ambiguous customer pain including success metrics required data workflow integrations evaluation criteria deployment assumptions and decision gates.

• Have evidence-first security judgment: you validate findings separate true positives from noise document assumptions and avoid overstating model or security claims.

• Own problems end-to-end operate with high throughput across multiple concurrent customer projects and know when to stay hands-on versus create reusable leverage for the broader field.

• Have a humble attitude an eagerness to help colleagues and a desire to do whatever it takes to make the team and our customers successful.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core and to achieve our mission we must encompass and value the many different perspectives voices and experiences that form the full spectrum of humanity.

We are an equal opportunity employer and we do not discriminate on the basis of race religion color national origin sex sexual orientation age veteran status disability genetic information or other applicable legally protected characteristic.

For additional information please see OpenAIs Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws including the San Francisco Fair Chance Ordinance the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct adverse and negative relationship with the following job duties potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary confidential and non-public addition job duties require access to secure and protected information technology systems and related data security obligations.

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Required Experience:

IC