Cyber AI Security Leader

Crowe

Washington (District of Columbia)

On-site

USD 105,000 - 214,000

Full time

5 days ago
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Benefits offered by this job

Unlimited PTO

Job summary

Crowe seeks a Cyber AI Security Manager to lead security for AI-powered solutions across GenAI, ML, and related architectures. You will design secure AI systems, partner with cybersecurity teams, and drive best practices across engagements.

The role emphasizes collaboration with AI developers, DevOps, and product teams, with travel to meet client needs and ensure regulatory alignment. A strong security background and communication skills are essential.

Qualifications

  • Minimum 7 years in cybersecurity focused on software and data-intensive products.
  • Proficiency with NIST, ISO 27001, or CIS Controls.
  • Experience with AI/ML or Generative AI solutions, including LLM APIs.
  • Bachelor's degree; willingness to travel ~40% domestically.
  • Certifications such as CISSP, CEH, or CompTIA Security+ are a plus.

Responsibilities

  • Collaborate with AI developers, DevOps, and product teams to identify security vulnerabilities and ensure compliance.
  • Support security assessments, penetration testing, and vulnerability management for AI systems.
  • Design, develop, and deploy secure AI/ML applications with a focus on protecting PII.
  • Stay ahead of AI security threats, privacy regulations, and industry standards.
  • Document security protocols and promote security awareness within the team.

Skills

Cybersecurity expertise
Regulatory compliance knowledge
AI/ML security experience
Excellent communication
Cross-functional collaboration
Travel readiness

Education

Bachelor's degree

Tools

NIST AI RMF
OWASP Top 10 for LLM Apps
MITRE ATLAS
LLM APIs
AI agents/tools

Job description

Crowe seeks a Cyber AI Security Manager to lead security for AI-powered solutions across GenAI, ML, and related architectures. You will design secure AI systems, partner with cybersecurity teams, and drive best practices across engagements.

The role emphasizes collaboration with AI developers, DevOps, and product teams, with travel to meet client needs and ensure regulatory alignment. A strong security background and communication skills are essential.

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