Cyber AI Security Leader | AI Risk & Defense

Crowe; Charlotte (NC); On-site; USD 105,000 - 214,000; Full time

Benefits offered by this job

Unlimited PTO

Flexible remote work policy

Job summary

Crowe is seeking a Cyber AI Security Manager to help secure GenAI, ML, and AI-enabled solutions. You will assess AI systems, design security patterns, and partner with cybersecurity teams to deliver secure, scalable AI services.

This role emphasizes collaboration with engineering, legal, and business stakeholders. Applicants should have deep AI security expertise, familiarity with regulatory landscapes, and a proven ability to lead security initiatives across client engagements.

Qualifications

• 7+ years in cybersecurity focusing on software and data-intensive products.
• Familiarity with NIST, ISO 27001, or CIS Controls.
• Experience with AI/ML frameworks and GenAI security considerations.
• Excellent communication and collaboration across teams.
• Travel readiness to satisfy ~40% domestically.

Responsibilities

• Collaborate with AI developers, DevOps, and product teams to identify security vulnerabilities and ensure regulatory compliance.
• Support security assessments, pen tests, and vulnerability management for AI systems.
• Design, develop, and deploy secure AI/ML applications with emphasis on PII protection.
• Stay ahead of AI security threats and evolving privacy regulations to meet market standards.
• Document security protocols and conduct security trainings within the team.

Skills

Cybersecurity expertise

AI/ML security

Regulatory frameworks

Communication

Cross-functional collaboration

Travel readiness

Security certifications

Education

Bachelor's degree

Tools

LLM APIs

Azure security

Job description

Crowe is seeking a Cyber AI Security Manager to help secure GenAI, ML, and AI-enabled solutions. You will assess AI systems, design security patterns, and partner with cybersecurity teams to deliver secure, scalable AI services.

This role emphasizes collaboration with engineering, legal, and business stakeholders. Applicants should have deep AI security expertise, familiarity with regulatory landscapes, and a proven ability to lead security initiatives across client engagements.