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AI Deployment Engineer, Cyber

San Francisco Engineering Senior USD234k–260k Posted 1d ago

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Role description

What the team is looking for.

Compensation

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this position is $234K – $260K, plus generous equity, performance-related bonuses, and benefits.

Benefits include:

  • Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
  • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses
  • 401(k) retirement plan with employer match
  • Paid parental leave, paid medical and caregiver leave
  • Flexible PTO and paid company holidays
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Annual learning and development stipend
  • Daily meals in offices and meal delivery credits
  • Relocation support for eligible employees

About the team

The AI Deployment Engineering team helps developers and enterprises safely deploy OpenAI technologies in production. We work with customers to identify high-value use cases, design practical architectures, and move from prototype to durable deployment.

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, and technical practitioners to identify where AI can create measurable security outcomes.

Responsibilities

  • Embed with strategic customers as the technical lead for AI-enabled cybersecurity workflows
  • Lead discovery across various security use cases
  • Build and deliver customer-facing demos, prototypes, and workshops
  • Scope pilots with clear success criteria and evaluation methods
  • Advise customers on safe implementation patterns
  • Translate between CISO-level outcomes and practitioner-level implementation details
  • Create reusable field assets
  • Validate and deliver high-signal feedback to internal teams

Requirements

  • 5+ years of technical consulting, solutions engineering, security architecture, or equivalent experience
  • Strong cybersecurity domain expertise
  • Ability to communicate with CISOs, CTOs, and technical security practitioners
  • Hands-on experience with APIs, Python or JavaScript, and common security tooling
  • Understanding of AI workflow design principles
  • Evidence-first security judgment
  • Ability to own problems end-to-end and operate with high throughput
  • Humble attitude and eagerness to help colleagues

Nice to have

  • Experience with OpenAI models, APIs, and Codex
  • Familiarity with cybersecurity frameworks and standards
  • Knowledge of cloud security, identity, and vulnerability management
Skills mentioned
  • Python
  • JavaScript
  • APIs
  • cybersecurity
  • AI workflow design
  • cloud security
  • identity
  • vulnerability management
  • OpenAI models
  • Codex
  • cybersecurity frameworks