Adversarial Machine Learning Jobs in Schenectady, NY

The Senior Director AI Security is responsible for establishing, leading, and continuously maturing the enterprise AI Security program. Reporting directly to the Chief Information Security Officer, this leader develops the organization's strategy for securing

Artificial Intelligence technologies while enabling responsible innovation across the enterprise.

The Senior Director serves as the executive leader responsible for governance, security architecture strategy, risk management, secure adoption, regulatory compliance, and operational oversight of AI technologies, including Generative AI, Large Language Models (LLMs), AI agents, machine learning platforms, autonomous systems, and emerging AI capabilities. This role partners closely with executive leadership, Enterprise Architecture, Data & Analytics, Legal, Privacy, Technology, Procurement, Risk Management, Internal Audit, and business leaders to ensure AI technologies are implemented securely, responsibly, and in alignment with business objectives.

They will recruit, develop, and lead a high-performing team of AI security architects, engineers, and specialists.

• Develop and execute the enterprise AI Security strategy, operating model, governance framework, and multi-year roadmap.
• Establish enterprise AI security standards, policies, reference architectures, and secure development requirements for AI technologies.
• Lead AI security risk management including model governance, third-party AI assessments, AI inventory, threat modeling, and regulatory compliance.
• Build and lead the AI Security organization including hiring, mentoring, budgeting, strategic planning, and operational execution.
• Partner with technology, architecture, engineering, legal, privacy, procurement, and business leaders to securely enable enterprise AI adoption.
• Oversee AI security architecture reviews, secure design approvals, and security assessments for enterprise AI initiatives.
• Monitor emerging AI threats, vulnerabilities, adversarial AI techniques, regulatory developments, and industry best practices, adjusting strategy accordingly

• Develop enterprise standards for acceptable AI usage.
• Establish AI model governance processes.
• Define AI security review requirements for all new AI initiatives.
• Build enterprise AI risk assessment methodologies.
• Create AI security metrics and executive dashboards.
• Represent Information Security on enterprise AI governance committees.
• Perform additional duties as assigned by the Chief Information Security Officer.

• Deep understanding of LLMs, generative AI, and model lifecycle., Required
• Strong knowledge of data privacy, model governance, and adversarial AI/ML, Required
• Proven understanding of business focus and processes, and ability to inject cybersecurity into the business through teamwork and influence., Required
• High level of integrity and trustworthiness, as well as confidence to represent the company and security leadership with the highest level of professionalism., Required

• Bachelor's Degree in computerscience, Information Security, Engineering, Data Science or related field, Required
• Master's Degree in Computer Science, Information Security, Engineering, Data Science or related field, Preferred
• 10 years or more in Progressive cybersecurity leadership, Required
• 3 years or more in experience designing, implementing, and securing AI/ML, Required
• 2 years or more in experience in Amazon Web Services (AWS), Google Cloud Platform (GCP) and/or Microsoft Azure cloud computing security configuration and management., Required
• 2 years or more in experience in application security with an emphasis on AI/ML, Required
• 5 years or more in leading security architecture or engineering organizations, Required
• Demonstrated project management, multitasking and organizational skills. Advanced, Required
• Knowledge of industry accepted risk management frameworks and standard such as the NIST AI Risk Management Framework, NIST Risk Management Framework (RMF), NIST Privacy Framework, etc. Advanced, Required
• Knowledge of industry accepted Information Security frameworks and standards such as the NIST Cybersecurity Framework (CSF), ISO27001, ISO 42001, NIST 800 Series, OWASP GenAI Security Project, etc. Advanced, Required
• Advanced in AI Security Management (AAISM), Preferred, 1 Year
• Certified Secure Software Lifecycle Professional (CSSLP), Preferred, 1 Year
• Certified Information Systems Security Professional (CISSP), Required, Upon Hire
• Certified Cloud Security Professional (CCSP), Preferred, 1 Year

• Yes, 10-20%

Information Security

At Ryder, you’re trusted to make an impact—while enjoying room to grow and having a voice that’s heard. Our culture is built on respect, collaboration, and shared pride in doing great work rooted in innovation and safety.

Your Voice. Your Success. The Future We Build Together.

The compensation offered to a candidate may be influenced by a variety of factors, including the candidate’s relevant experience; education, including relevant degrees or certifications; work location; market data/ranges; internal equity; internal salary ranges; etc. The position may also be eligible to receive an annual bonus, commission, and/or long-term incentive plan based on the level and/or type. Compensation ranges for the position are below:

Salaried

$150,000.00

$200,000.00

For all Full-time positions only: Ryder offers comprehensive health and welfare benefits, to include medical, prescription, dental, vision, life insurance and disability insurance options, as well as paid time off for vacation, illness, bereavement, family and parental leave, and a tax-advantaged 401(k) retirement savings plan.

For more information about benefits, click here (https://ryder.icims.com/icims2/servlet/icims2?module=AppInert&action=download&id=4022345&hashed=256118533) to download the comprehensive benefits summary.

Ryder is proud to be an Equal Opportunity Employer and Drug Free workplace.

All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability.

Some positions require additional screening that may include employment and education verification; motor vehicle records check and a road test; and/or badging or background requirements of the customer to which you are assigned.