Senior AI Security & Vulnerability Architect

Archer

San Jose (CA)

Hybrid

USD 183,000 - 241,000

Full time

14 days+

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Job summary

Archer in San Jose, CA is seeking a Sr. Staff Vulnerability & AI Security Engineer to architect and lead Archer’s enterprise vulnerability management and AI security program. Reporting to the CISO, you will own the end-to-end vulnerability lifecycle across cloud, endpoints, and applications.

This role blends strategy and hands-on engineering to reduce risk through automation, secure guardrails for GenAI, and compliance with NIST SP 800-171, CMMC Level 2, and ITAR.

Qualifications

  • 8+ years of security engineering experience with vulnerability management, AppSec, or cloud security.
  • Staff-level influence leading enterprise security programs.
  • Hands-on AWS, GCP, or Azure; identity, configuration and telemetry.
  • Expertise with SAST/DAST/SCA and automated workflows.
  • Understanding of NIST SP 800-171, CMMC, ITAR compliance.
  • Ability to translate CVEs into business risk for non-technical stakeholders.

Responsibilities

  • Architect end-to-end vulnerability management strategy and reporting.
  • Develop risk-based prioritization integrating asset criticality and threat intel.
  • Lead AI security governance and guardrails for GenAI usage.
  • Integrate CNAPP/CSPM findings with automated workflows to reduce exposure.
  • Embed SAST/DAST/SCA and secrets scanning into CI/CD pipelines.
  • Define technical KPIs and drive remediation with leadership.
  • Lead high-severity vulnerability response and validation.
  • Mentor engineers and drive cross-functional remediation initiatives.

Skills

Vulnerability management
AI security
Cloud security
Security engineering
Communications

Tools

SAST/DAST/SCA
Cloud telemetry

Job description

Archer in San Jose, CA is seeking a Sr. Staff Vulnerability & AI Security Engineer to architect and lead Archer’s enterprise vulnerability management and AI security program. Reporting to the CISO, you will own the end-to-end vulnerability lifecycle across cloud, endpoints, and applications.

This role blends strategy and hands-on engineering to reduce risk through automation, secure guardrails for GenAI, and compliance with NIST SP 800-171, CMMC Level 2, and ITAR.

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