AI Security Engineer Senior Manager

About the role

This is a strategic leadership role that will require hands-on technical experience. You will shape the AI security vision, establish governance and controls, and partner across product, engineering, risk, and legal teams to embed security and trust into the AI lifecycle. You will also mentor teams and influence senior stakeholders to enable confident, secure adoption of AI technologies.

Responsibilities

• Build the AI Security Strategy
• Contribute to and drive the evolution of the enterprise AI security vision, roadmap, and operating model aligned to broader cybersecurity and AI priorities.
• Embed Security into AI at Scale
• Ensure secure-by-design principles across the AI lifecycle, including model development, data pipelines, deployment, and monitoring.
• Lead AI Risk & Governance
• Establish frameworks to manage AI-specific risks (e.g., model integrity, data leakage, adversarial threats, misuse). Partner with risk and legal to operationalize responsible AI and regulatory compliance.
• Architect Secure AI Solutions
• Guide secure architecture and engineering practices for AI/ML and GenAI platforms, integrating security into MLOps/LLMOps and DevSecOps pipelines.
• Drive Standards and Controls
• Define enterprise standards, policies, and controls for AI security, including access, data protection, model validation, and auditability.
• Build and Develop Talent
• Lead, mentor, and scale a high-performing team of engineers and security specialists. Elevate AI security capabilities across the organization.
• Enable Business Outcomes Securely
• Balance innovation with risk management—enabling rapid AI adoption while safeguarding enterprise assets, client trust, and brand reputation.
• Influence and Align Stakeholders
• Engage senior leaders across technology, product, risk, and business functions. Communicate clearly on risks, trade-offs, and investment priorities.

Qualifications

• Required:
• Bachelor’s degree or equivalent in Computer Science, Computer Engineering, Business Administration
• Minimum 10 years of experience across cybersecurity and software engineering, including AI/ML with increasing leadership responsibility
• Minimum 2 years of people and/or process management experience
• Paid Time Off (PTO)
• Discretionary Annual Bonus
• Health Insurance
• Flexible Spending Accounts (FSAs)
• Retirement Plans
• Life Insurance
• Short-Term Disability
• Long-Term Disability
• Employee Assistance Programs (EAP)
• Professional Development
• Professional Recognition
• Professional Training
• Professional Networking
• Professional Development Opportunities
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• Professional Networking Opportunities
• Professional Development Programs
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• Professional Development Events
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• Professional Development Courses
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• Professional