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Generative Ai Project Manager Jobs in Reno, NV (NOW HIRING)

Sr AI/ML Engineer

Sparks, NV

$106K - $146K/yr

This position demands advanced technical expertise and the ability to manage high-impact projects ... Experience designing and optimizing generative AI models including transformers and GANs.

We're seeking a seasoned Project Manager to lead transformative infrastructure projects that shape ... In this role, you are enabled to be at the forefront of integrating artificial intelligence (AI ...

Manage a portfolio of concurrent data center projects or one or more large, complex hyperscale, colocation, enterprise, cloud, AI, or mission-critical electrical construction projects. * Partner with ...

Manage a portfolio of concurrent data center projects or one or more large, complex hyperscale, colocation, enterprise, cloud, AI, or mission-critical electrical construction projects. * Partner with ...

Support experimentation and implementation of Generative AI, Large Language Models (LLMs), and ... Partner with Product Managers and Business Analysts to translate business questions into analytical ...

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Generative Ai Project Manager information

See Reno, NV salary details

$38.4K

$102.4K

$161.5K

How much do generative ai project manager jobs pay per year?

As of Aug 30, 2026, the average yearly pay for generative ai project manager in Reno, NV is $102,381.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,300.00 and $122,600.00 per year, depending on experience, location, and employer.

What does a generative AI project manager do?

A Generative AI Project Manager oversees projects that involve the development and implementation of generative artificial intelligence solutions. Their responsibilities include coordinating teams of data scientists, engineers, and designers, managing project timelines and budgets, and ensuring that deliverables meet business objectives. They also facilitate communication between technical and non-technical stakeholders to ensure alignment and project success. Additionally, they stay updated on advances in AI technology to guide project direction and innovation.

What are the key skills and qualifications needed to thrive as a generative AI project manager?

To thrive as a Generative AI Project Manager, you need a solid understanding of AI/machine learning concepts, project management methodologies, and a relevant degree (such as computer science or engineering). Familiarity with tools like Jira, Agile frameworks, and AI platforms (e.g., TensorFlow, PyTorch) as well as certifications like PMP or Agile Scrum Master are highly beneficial. Strong leadership, communication, and problem-solving skills set outstanding candidates apart by enabling them to bridge technical and non-technical teams. These abilities are crucial for delivering AI projects on time, ensuring alignment with business goals, and adapting to rapidly evolving technology landscapes.

What are some unique challenges faced by generative AI project managers when overseeing cross-functional teams?

Generative AI Project Managers often encounter the challenge of bridging knowledge gaps between technical AI specialists, such as data scientists and engineers, and non-technical stakeholders, like product managers or business leaders. Coordinating clear communication and aligning project goals requires balancing rapid technological changes with business requirements, all while ensuring ethical and responsible AI development. Additionally, managing timelines can be complex due to the experimental nature of generative AI projects, which may involve iterative prototyping and unexpected roadblocks. Building trust and facilitating collaboration across diverse teams is key to project success.

What is the difference between Generative Ai Project Manager vs Data Scientist?

AspectGenerative Ai Project ManagerData Scientist
Required CredentialsProject management certifications, AI knowledgeDegree in Data Science, Computer Science, or related fields
Work EnvironmentCross-functional teams, project planningData analysis, model development
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, research institutions, analytics companies

While both roles involve AI, the Generative Ai Project Manager oversees AI projects, coordinating teams and timelines, whereas the Data Scientist focuses on analyzing data and building models. The project manager ensures project delivery, while the data scientist develops the AI models used within projects.

What are popular job titles related to Generative Ai Project Manager jobs in Reno, NV?

For Generative Ai Project Manager jobs in Reno, NV, the most frequently searched job titles are:

Infographic showing various Generative Ai Project Manager job openings in Reno, NV as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $102,381 per year, or $49.2 per hour.

Senior Director AI Security

Ryder System, Inc.

Carson City, NV • On-site

$150 - $200/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New


Ryder rating

7.1

Company rating: 7.1 out of 10

Based on 513 frontline employees who took The Breakroom Quiz

200th of 366 rated logistics


Job description

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 standards 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.

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.

Security Notice for Applicants:

Ryder will only communicate with an applicant directly from a [@ryder.com] email address and will never conduct an interview online through a chat type forum, messaging app (such as WhatsApp or Telegram), or via an online questionnaire. During an interview, Ryder will never ask for any form of payment or banking details and will never solicit personal information outside of the formal submitted application through www.ryder.com/careers .

Should you have any questions regarding the application process or to verify the legitimacy of an interview or Ryder representative, please contact Ryder at careers@ryder.com .

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