1

Generative Ai Director Jobs in Arizona (NOW HIRING)

The Director, IT - AI is accountable for developing the enterprise AI roadmap, strengthening ... Experience with generative AI, large language models, cloud-based AI platforms, machine learning ...

The Director, IT - AI is accountable for developing the enterprise AI roadmap, strengthening ... Experience with generative AI, large language models, cloud-based AI platforms, machine learning ...

Demonstrated experience with Generative AI and Large Language Models (LLMs), with direct expertise in Gemini Enterprise or similar platforms. * Strategic Leadership: Proven ability to architect ...

next page

Showing results 1-20

Generative Ai Director information

What does a Generative AI Director do?

A Generative AI Director leads teams in developing and deploying artificial intelligence models that create new content, such as text, images, or music. They oversee the strategic vision, project management, and ethical considerations of generative AI initiatives. This role often involves collaborating with data scientists, engineers, and business leaders to ensure AI solutions align with organizational goals and comply with industry standards. Additionally, the Generative AI Director stays up to date with the latest advancements in AI research and guides the integration of cutting-edge technologies into products and services.

What are the key skills and qualifications needed to thrive as a Generative AI Director?

To thrive as a Generative AI Director, you need deep expertise in AI/ML algorithms, experience leading technical teams, and an advanced degree in computer science or a related field. Proficiency with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and familiarity with data privacy standards and relevant certifications (like AWS Certified Machine Learning) are highly valued. Strong leadership, strategic vision, and effective communication skills help drive innovation and align cross-functional teams. These skills are crucial for successfully managing complex AI initiatives, ensuring ethical deployment, and maintaining a competitive edge in a rapidly evolving field.

What are the typical challenges faced by a Generative AI Director when leading cross-functional teams?

As a Generative AI Director, one common challenge is aligning diverse teams—such as data scientists, software engineers, product managers, and designers—toward a unified vision for AI-driven solutions. Balancing innovation with ethical considerations and regulatory compliance is also critical, especially as generative AI evolves rapidly. Additionally, fostering continuous learning while managing stakeholder expectations and resource constraints requires strong leadership, clear communication, and strategic prioritization.

What is the difference between Generative Ai Director vs Data Scientist?

AspectGenerative Ai DirectorData Scientist
Required CredentialsAdvanced degrees in AI, Computer Science, or related fields; leadership experienceBachelor's or Master's in Data Science, Statistics, or related fields; technical skills
Work EnvironmentLeadership roles overseeing AI projects, strategic planning, cross-team collaborationData analysis, model development, statistical modeling, coding
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, e-commerce, research organizations

While both roles involve AI and data, the Generative Ai Director focuses on leading AI initiatives and strategic oversight, whereas the Data Scientist concentrates on data analysis and model development. The Director role typically requires more leadership experience and a broader understanding of AI applications.

What are the most commonly searched types of Generative Ai jobs in Arizona?

The most popular types of Generative Ai jobs in Arizona are:

What are popular job titles related to Generative Ai Director jobs in Arizona?

For Generative Ai Director jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Generative Ai Director jobs in Arizona look for?

The top searched job categories for Generative Ai Director jobs in Arizona are:

What cities in Arizona are hiring for Generative Ai Director jobs?

Cities in Arizona with the most Generative Ai Director job openings:

Infographic showing various Generative Ai Director job openings in Arizona as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 86% In-person, 5% Hybrid, and 9% Remote job distribution.

Senior Director AI Security

Phoenix, AZ • On-site


Ryder System, Inc.
Transportation and Warehousing • 10K+ employees

7.1

Company rating: 7.1 out of 10

Based on 513 frontline employees who took The Breakroom Quiz

201st of 366 rated logistics

Good employer

Respectful managers

Uninterrupted breaks


$150 - $200/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Summary

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.

Essential Functions
  • 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
Additional Responsibilities
  • 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.
Skills and Abilities
  • 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
Qualifications
  • 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
Travel
  • Yes, 10-20%
Job Category:

Information Security

Our Culture & Commitment

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.

Compensation Information

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:

Pay Type

Salaried

Minimum Pay Range:

$150,000.00

Maximum Pay Range:

$200,000.00

Benefits Information

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.

Important Note

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.

#J-18808-Ljbffr


What Ryder employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom