AI Security Engineer

Position Overview

At Crowe, you can build a meaningful and rewarding career with real flexibility to balance work and life. For over 80 years, Crowe has delivered excellent service across audit, tax, and consulting by embracing innovative ideas – including AI-enabled insights – to drive our business forward.

About Crowe AI Transformation:We leverage state-of-the-art technologies, modern architectures, and deep industry expertise to deliver AI-powered solutions that transform business models. As part of this innovative team, you will help distinguish Crowe in the market and drive our technology and innovation strategy.

Key Responsibilities

• As an AI Security Engineer, ensure our AI products and solutions uphold the highest standards of security and compliance.
• Collaborate with AI developers, DevOps engineers, and product teams to identify and remediate security vulnerabilities, ensuring compliance with regulatory standards including GDPR and SOC 2.
• Lead security assessments, penetration testing, and vulnerability management for AI systems to proactively mitigate risks.
• Design, develop, and deploy 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.
• Document security protocols, conduct training sessions, and promote security awareness across the organization.
• Engage with cross-functional stakeholders to refine security policies and procedures specific to AI and ML products.

Required Qualifications

• Minimum of 5 years' experience in cybersecurity, with a focus on securing software and data-intensive products.
• Proven expertise in GDPR compliance, SOC 2 audits, and handling sensitive PII.
• Strong experience in penetration testing, vulnerability assessments, and security incident response.
• Proficiency with cybersecurity frameworks such as NIST, ISO 27001, or CIS Controls.
• Hands-on experience with cloud security practices, especially within Microsoft Azure.
• Deep understanding of AI/ML systems architecture and associated security considerations.
• Excellent communication skills, capable of articulating complex security topics to both technical and non-technical audiences.
• Demonstrated ability to collaborate with interdisciplinary teams including engineering, legal, compliance, and business stakeholders.

Preferred Qualifications

• Certifications such as CISSP, CEH, CompTIA Security+, or relevant Microsoft Azure security certifications.
• Familiarity with AI-specific regulatory environments and ethical considerations surrounding AI deployment.
• Experience with data anonymization techniques and privacy-preserving machine learning methodologies.
• Understanding of DevSecOps principles with experience integrating security into CI/CD pipelines.
• Previous experience in professional services or consulting environments with client-facing capabilities.
• Strong analytical and problem-solving skills, adept at navigating ambiguous and rapidly evolving scenarios.

Benefits & Perks

• Compensation:$102,400.00 - $204,100.00 per year
• Comprehensive total rewards package including unlimited PTO and a flexible remote work policy.
• Regular career coaching and professional development opportunities to nurture your growth.
• Be part of an innovative team dedicated to leveraging breakthrough technologies to shape the future of work.