Cyber AI Security Leader: GenAI & ML Risk

Crowe; Springfield (IL); On-site; USD 105,000 - 214,000; Full time

Benefits offered by this job

Unlimited PTO

Flexible remote work policy

Job summary

Crowe’s Cyber AI Security Manager sits at the intersection of AI engineering and cybersecurity. You will help clients securely adopt AI while helping Crowe reinvent cybersecurity services with AI, assessing GenAI, ML, and agentic systems, developing security patterns and controls for emerging AI architectures.

You will collaborate with AI developers, DevOps, and product teams to identify vulnerabilities, implement best practices, and ensure regulatory compliance, while staying ahead of evolving

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.
• Certifications such as CISSP, CEH, CompTIA Security+, or relevant Microsoft Azure security certifications.

Responsibilities

• Collaborate closely with AI developers, DevOps engineers, and product teams to identify potential security vulnerabilities, implement best practices, and ensure compliance with regulatory standards.
• Support security assessments, penetration testing, and vulnerability management for AI systems to proactively mitigate risks.
• Act as the security expert in designing, developing, and deploying secure AI and machine learning applications, with a focus on safeguarding personally identifiable information (PII).
• Stay ahead of emerging cybersecurity threats, privacy regulations, and compliance requirements to ensure that our AI solutions continuously meet and exceed market standards.
• Document security protocols, conduct training sessions, and promote security awareness within the team and organization.
• Engage with stakeholders across multiple disciplines to refine security policies and procedures specific to AI and ML products.
• Identify opportunities to apply GenAI, agents, ML, and automation to improve cybersecurity services and client outcomes.
• Prototype and productionize AI-enabled security capabilities - for example, accelerating security assessments, threat analysis, vulnerability prioritization, control testing, evidence analysis, or security operations.
• Partner with cybersecurity practitioners to understand existing delivery processes and determine where AI can improve quality, speed, scalability, or insight.
• Evaluate emerging AI security tooling and determine where commercial products versus custom AI solutions make sense.
• Help establish reusable AI-enabled cybersecurity accelerators, patterns, and intellectual property that can be deployed across client engagements.

Skills

Cybersecurity

AI/ML

GenAI

Cloud security

Regulatory compliance

Communication

Travel readiness

Education

Bachelor's degree

Job description

Crowe’s Cyber AI Security Manager sits at the intersection of AI engineering and cybersecurity. You will help clients securely adopt AI while helping Crowe reinvent cybersecurity services with AI, assessing GenAI, ML, and agentic systems, developing security patterns and controls for emerging AI architectures.

You will collaborate with AI developers, DevOps, and product teams to identify vulnerabilities, implement best practices, and ensure regulatory compliance, while staying ahead of evolving