OpenAI

2 weeks ago

AI Deployment Engineer, Cyber

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Partner with cybersecurity teams to deploy OpenAI models, APIs, Codex, and agentic workflows into production security use cases. Serve as a trusted technical lead for CISOs, SOC teams, and practitioners—driving discovery, scoping pilots with clear success criteria, and building customer-facing demos and reference architectures. Translate between executive outcomes and hands-on implementation details, advise on safe deployment patterns, and deliver high-signal feedback to GTM, Product, Engineering, Research, and Security.

Location: Tokyo

Workplace: Onsite

Employment Type: Full time

Job Function: Cybersecurity

Seniority: Mid level

Key Responsibilities

•Act as technical lead for AI-enabled cybersecurity workflows, partnering with 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, and common security tooling.
•Scope pilots with clear success criteria, required data, workflow integrations, evaluation methods, security constraints, safety boundaries, and human approval points.
•Advise on safe implementation patterns (tool/function calling, structured outputs, retrieval, sandboxing, guardrails, telemetry, auditability) and deliver high-signal feedback to Product, Engineering, Research, Security, and GTM.

Pay and Benefits

Perks:Relocation

Key Requirements

•5+ years of technical consulting, solutions engineering, security architecture, cyber advisory, deployment engineering, professional services, or equivalent customer-facing technical experience.
•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.
•Credible communication with CISOs, CTOs, security executives, engineering leaders, and highly technical security practitioners.
•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 similar security tooling.
•Ability to design AI workflows with retrieval, structured outputs, tool use, evals, guardrails, telemetry, sandboxing, and human-in-the-loop review.

Experience:CybersecuritySOCAppSecDevSecOpsSecurity architectureSecurity consultingSecurity toolingMachine learningAI deployment

Skills:Customer communicationStakeholder alignmentProblem solvingEvidence-based judgmentCross-functional collaboration

Tech Stack:OpenAI APIsCodexAgentsPythonJavaScriptScriptsCLIsGitHub workflowsCI/CDLogsTicketsScannersRetrievalStructured outputsTool useEvalsGuardrailsTelemetrySandboxingHuman-in-the-loop

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor

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OpenAI

2 weeks ago

AI Deployment Engineer, Cyber

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Tokyo

Workplace: Onsite

Employment Type: Full time

Job Function: Cybersecurity

Seniority: Mid level

Key Responsibilities

•Act as technical lead for AI-enabled cybersecurity workflows, partnering with 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, and common security tooling.
•Scope pilots with clear success criteria, required data, workflow integrations, evaluation methods, security constraints, safety boundaries, and human approval points.
•Advise on safe implementation patterns (tool/function calling, structured outputs, retrieval, sandboxing, guardrails, telemetry, auditability) and deliver high-signal feedback to Product, Engineering, Research, Security, and GTM.

Pay and Benefits

Perks:Relocation

Key Requirements

•5+ years of technical consulting, solutions engineering, security architecture, cyber advisory, deployment engineering, professional services, or equivalent customer-facing technical experience.
•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.
•Credible communication with CISOs, CTOs, security executives, engineering leaders, and highly technical security practitioners.
•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 similar security tooling.
•Ability to design AI workflows with retrieval, structured outputs, tool use, evals, guardrails, telemetry, sandboxing, and human-in-the-loop review.

Experience:CybersecuritySOCAppSecDevSecOpsSecurity architectureSecurity consultingSecurity toolingMachine learningAI deployment

Skills:Customer communicationStakeholder alignmentProblem solvingEvidence-based judgmentCross-functional collaboration

Tech Stack:OpenAI APIsCodexAgentsPythonJavaScriptScriptsCLIsGitHub workflowsCI/CDLogsTicketsScannersRetrievalStructured outputsTool useEvalsGuardrailsTelemetrySandboxingHuman-in-the-loop

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor