AI Security Engineer (AI)

TL;DR

AI Security Engineer (AI): Strengthening enterprise security controls for AI tools and AI-enabled workflows across the company with an accent on access controls, permissions, data handling, and vendor security reviews. Focus on ensuring AI tools are used safely, compliantly, and with least privilege without slowing down teams, covering corporate systems and how AI usage changes risk.

Location: This role is for individuals who will work for hirify.global in the San Francisco Bay Area of California.

Salary: $177,000–$266,000 total target cash (inclusive of bonus or commission)

Company

hirify.global is a leading AI analytics platform helping over 4,300 customers build better products and digital experiences.

What you will do

• Support day-to-day enterprise security operations across corporate systems, including SaaS posture, identity security, access reviews, and vulnerability management.
• Maintain and improve controls for identity and access management (Okta/SSO), including periodic access reviews and least-privilege enforcement.
• Participate in vendor/tool/AI tool onboarding reviews, including basic risk evaluations.
• Implement and operate AI access controls, reviewing and validating AI-related permissions and data-sharing settings.
• Support AI governance requirements by documenting controls, maintaining AI tool inventories, and aligning configurations with policy.
• Build or maintain lightweight scripts/workflows for visibility and control, and help create dashboards for AI tool adoption and control posture.

Requirements

• 2–4 years in IT Security, Enterprise Security, Corporate Security Engineering, or Security Operations with strong enterprise systems exposure.
• Hands-on familiarity with SSO/IAM concepts (SAML/OIDC, SCIM provisioning, group/role-based access).
• Comfortable performing access reviews, interpreting entitlements, and documenting decisions.
• Experience supporting security controls in enterprise tooling (Google Workspace / Microsoft, Okta).
• Some scripting/automation experience (Python, Bash, or similar) or strong no-code automation with a willingness to learn scripting.
• Strong attention to detail, documentation habits, and ability to operationalize policy.

Nice to have

• Experience with DLP, SaaS security reviews, or third-party vendor risk processes.
• Familiarity with endpoint management/security (Kandji/Jamf/Intune), EDR tools, or device trust programs.
• Exposure to AI governance concepts (acceptable use, tool inventories, data classifications).
• Experience partnering with Legal/Privacy or Compliance on control mapping/evidence.

Culture & Benefits

• Competitive pay and benefits packages, including 100% employer-paid medical, dental, and vision premiums on select plans.
• Flexible time off, paid holidays, and generous stipends for wellness, commuter, learning, and home office equipment.
• Excellent Parental benefits, including 12-20 weeks of Paid Parental Leave and Carrot Fertility Benefits.
• Mental health and wellness benefits, including access to Modern Health coaching & therapy and One Medical membership.
• Employee Stock Purchase Program (ESPP) and charitable giving grants with paid volunteer time off.