Executive Director, AI Security

Job not on LinkedIn

🔥 0 minutes ago

🤠 Texas – Remote

🤠 Texas – Remote

⏰ Full Time

🔴 Lead

👮‍♂️ Cybersecurity / Security Engineer

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Ms Ms

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2022

📱 Media

👥 B2C

Media • B2C

Ms Ms is a consumer-focused company that appears to operate or present a social networking or online community interface. The provided text resembles a social media login page (similar to Facebook/Meta), indicating the company likely deals with user accounts, digital media, and consumer-facing online services such as messaging, social feeds, and related apps.

📋 Description

• Develop and lead the enterprise-wide AI security strategy, ensuring alignment with business objectives and risk appetite. • Establish governance frameworks for secure AI development, deployment, and monitoring, including model risk management and data privacy. • Identify and mitigate emerging threats specific to AI/ML systems, including adversarial attacks, data poisoning, model inversion, and prompt injection. • Conduct AI-specific threat modeling and risk assessments across platforms and use cases. • Ensure compliance with global AI regulations (e.g., EU AI Act, NIST AI RMF, ISO/IEC 42001) and cybersecurity standards (e.g., NIST, ISO 27001). • Oversee the design and implementation of secure architectures for AI platforms, including LLMs, MLOps pipelines, and data lakes. • Lead AI-specific incident response planning and execution, including model misuse, data leakage, and unauthorized access. • Build and lead a high-performing AI security team and serve as a trusted advisor to executive leadership on AI risk, resilience, and innovation.

🎯 Requirements

• 10+ years of experience in cybersecurity leadership roles, with at least 3 years focused on AI/ML systems or platforms • Deep understanding of AI/ML technologies, architectures, and associated security risks • Experience with cloud-native AI platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI) • Familiarity with AI governance frameworks, model interpretability, and data ethics • Strong knowledge of regulatory and compliance requirements related to AI and data privacy • Proven ability to influence cross-functional teams and drive enterprise-wide initiatives. • Preferred Certifications: CISSP, CISM, or CCISO Certified AI Security Professional (CAISP) or equivalent Cloud certifications (AWS, Azure, GCP) with AI/ML specialization

🏖️ Benefits

• Comprehensive employee benefits and perks • Opportunity to work alongside the best and brightest in a supportive environment