Job Details

At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you're trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership.

Job Description:

About Crowe AI Transformation

Everything we do is about making the future of human work more purposeful. We do this by leveraging state-of-the-art technologies, modern architectures, and industry experts to create AI-powered solutions that transform the way our clients do business.

The new AI Transformation team will build on Crowe's established AI foundation, furthering the capabilities of our Applied AI / Machine Learning team. By combining Generative AI, Machine Learning and Software Engineering, this team empowers Crowe clients to transform their business models through AI, irrespective of their current AI adoption stage.

As a member of AI Transformation, you will help distinguish Crowe in the market and drive the firm's technology and innovation strategy. The future is powered by AI, come build it with us.

About the Team

• We invest in expertise. You'll have the time, space, and support to go deep in your projects and build lasting technical and strategic mastery. You'll work with developers, product stakeholders, and project managers as a trusted leader and domain expert.
• We believe in continuous growth. Our team is committed to professional development and knowledge-sharing.
• We protect balance. Our distributed team culture is grounded in trust and flexibility. We offer unlimited PTO, a flexible remote work policy, and a supportive environment that prioritizes sustainable, long-term performance.

About the Role

• As an AI Security Engineer within the AI Transformation team, you will play a crucial role in ensuring our AI products and solutions uphold the highest standards of security and compliance.
• Collaborate closely with AI developers, DevOps engineers, and product teams to identify potential security vulnerabilities, implement best practices, and ensure compliance with regulatory standards including GDPR, SOC 2, and others.
• Lead 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.

Required Skills and Experience

• Minimum of 5 years' experience in cybersecurity, particularly focused on securing software and data-intensive products.
• Proven expertise in GDPR compliance, SOC 2 audits, and handling of 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, including identity management, access controls, and secure networking configurations.
• 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 80% of the time to meet client needs.

Preferred Skills

• 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 and experience integrating security into CI/CD pipelines.
• Previous experience within professional services or consulting environments, demonstrating client-facing capabilities and problem-solving skills.
• Strong analytical and problem-solving skills, capable of navigating ambiguous scenarios and rapidly evolving threats.

Crowe LLP provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.