Cyber AI Security Leader — GenAI & ML

Crowe; Livingston (NJ); On-site; USD 105,000 - 214,000; Full time

Job summary

Crowe seeks a Cyber AI Security Manager to bridge AI engineering and cybersecurity. You will assess GenAI/ML systems, develop security patterns, and partner with cybersecurity teams to deliver secure AI-enabled services for clients.

Strong collaboration across engineering, legal, and business stakeholders is essential. You will design secure AI architectures, lead vulnerability assessments, and stay ahead of evolving security threats and privacy regulations to ensure client outcomes meet market

Qualifications

• Minimum of 7 years' experience in cybersecurity, particularly focused on securing software and data-intensive products.
• Proficiency with cybersecurity frameworks such as NIST, ISO 27001, or CIS Controls.
• Familiarity with AI-specific regulatory environments and ethical considerations surrounding AI deployment.
• Experience with AI related frameworks such as NIST AI RMF, OWASP Top 10 for LLM Applications / GenAI Security Project, and MITRE ATLAS.
• Hands-on experience designing, developing, or integrating AI/ML or Generative AI solutions, including experience with LLM APIs, AI agents/tool use, and modern AI application architectures.
• Demonstrated ability to identify cybersecurity use cases for AI and translate them into prototypes, production solutions, or scalable service offerings.
• Deep understanding of AI/ML systems architecture and the associated security considerations.
• Excellent communication skills, with the ability to clearly articulate complex security topics to both technical and non-technical audiences.
• Proven ability to collaborate effectively with cross-functional teams including engineering, legal, compliance, and business stakeholders.
• Would require readiness to travel domestically approximately 40% of the time to meet client needs.
• Certifications such as CISSP, CEH, CompTIA Security+, or relevant Microsoft Azure security certifications.
• Bachelor's degree.

Responsibilities

• Collaborate with AI developers, DevOps engineers, and product teams to identify potential security vulnerabilities and ensure regulatory 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 cybersecurity threats, privacy regulations, and compliance requirements for AI solutions.
• Document security protocols and conduct security training within the team.
• Engage with stakeholders to refine AI/ML security policies and procedures.
• Identify opportunities to apply GenAI, agents, ML, and automation to improve cybersecurity services and outcomes.
• Prototype and productionize AI-enabled security capabilities to improve assessments and analysis.
• Partner with cybersecurity practitioners to optimize delivery processes for AI-enhanced security.
• Evaluate emerging AI security tooling and balance commercial vs. custom solutions.
• Help establish reusable AI-enabled cybersecurity accelerators and patterns.

Skills

Cybersecurity leadership

AI/GenAI security

Penetration testing

Cloud security (Azure)

Regulatory compliance

Communication skills

Travel readiness

Security certifications

Education

Bachelor's degree

Tools

LLM APIs

GenAI tooling

DevSecOps

Job description

Crowe seeks a Cyber AI Security Manager to bridge AI engineering and cybersecurity. You will assess GenAI/ML systems, develop security patterns, and partner with cybersecurity teams to deliver secure AI-enabled services for clients.

Strong collaboration across engineering, legal, and business stakeholders is essential. You will design secure AI architectures, lead vulnerability assessments, and stay ahead of evolving security threats and privacy regulations to ensure client outcomes meet market