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: 3 hours agoStatus: Live

Job Summary

Partner with security teams to deploy OpenAI models, APIs, Codex, and agentic workflows into real cybersecurity use cases. Lead discovery and pilot scoping across AppSec, DevSecOps, SOC/IR, detection engineering, cloud security, identity, and GRC automation. Build customer-facing demos, prototypes, workshops, and reference architectures, and advise on safe implementation patterns including tool/function calling, retrieval, guardrails, telemetry, and human-in-the-loop approvals. Provide field assets and high-signal product feedback.

Location: Dublin

Workplace: Hybrid

Employment Type: Full time

Job Function: Cybersecurity

Seniority: Mid level

Key Responsibilities

•Serve as a technical lead for AI-enabled cybersecurity workflows, embedded with strategic customers and trusted by both security executives and 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, and security tooling.
•Scope pilots with success criteria, data requirements, 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 approval-gated side effects) and provide 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.
•Ability to communicate credibly with CISOs, CTOs, security executives, engineering leaders, and highly technical security practitioners.
•Hands-on experience building prototypes or production systems using APIs, Python or JavaScript, agents, scripts, CLIs, GitHub workflows, CI/CD, logs, tickets, and scanners.
•Ability to design AI workflows with retrieval, structured outputs, tool use, evals, guardrails, telemetry, sandboxing, and human-in-the-loop review.

Experience:5+ yearsCybersecurity

Skills:CommunicationSecurity judgmentScopingStakeholder managementProblem-solving

Tech Stack:OpenAI APIsCodexAgentic workflowsAPIsPythonJavaScriptRetrievalStructured outputsTool and function callingAgentsScriptsCLIsGitHub workflowsCI/CDLogsTicketsScannersSandboxingTelemetry

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: 3 hours agoStatus: Live

Job Summary

Location: Dublin

Workplace: Hybrid

Employment Type: Full time

Job Function: Cybersecurity

Seniority: Mid level

Key Responsibilities

•Serve as a technical lead for AI-enabled cybersecurity workflows, embedded with strategic customers and trusted by both security executives and 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, and security tooling.
•Scope pilots with success criteria, data requirements, 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 approval-gated side effects) and provide 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.
•Ability to communicate credibly with CISOs, CTOs, security executives, engineering leaders, and highly technical security practitioners.
•Hands-on experience building prototypes or production systems using APIs, Python or JavaScript, agents, scripts, CLIs, GitHub workflows, CI/CD, logs, tickets, and scanners.
•Ability to design AI workflows with retrieval, structured outputs, tool use, evals, guardrails, telemetry, sandboxing, and human-in-the-loop review.

Experience:5+ yearsCybersecurity

Skills:CommunicationSecurity judgmentScopingStakeholder managementProblem-solving

Tech Stack:OpenAI APIsCodexAgentic workflowsAPIsPythonJavaScriptRetrievalStructured outputsTool and function callingAgentsScriptsCLIsGitHub workflowsCI/CDLogsTicketsScannersSandboxingTelemetry

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