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Genai Engineer Jobs in Utah (NOW HIRING)

Product Manager, DNA

Draper, UT · On-site

$98.57 - $107.46/hr

Partner with DNA science, engineering, and architecture teams to build robust DNA platform services ... Direct experience with GenAI, LLMs, or conversational agent frameworks is highly preferred. * A ...

Sr. Internal Auditor

Salt Lake City, UT · Remote

$81K - $101K/yr

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious ... Awareness of AI/GenAI governance and model risk considerations. * Good understanding of business ...

Sr. Internal Auditor

Salt Lake City, UT · Remote

$81K - $101K/yr

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious ... Awareness of AI/GenAI governance and model risk considerations. * Good understanding of business ...

Sr. Internal Auditor

Salt Lake City, UT · Remote

$81K - $101K/yr

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious ... Awareness of AI/GenAI governance and model risk considerations. * Good understanding of business ...

Sr. Internal Auditor

Salt Lake City, UT · On-site +1

$81K - $101K/yr

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious ... Awareness of AI/GenAI governance and model risk considerations. * Good understanding of business ...

Sr. Internal Auditor

Salt Lake City, UT · Remote

$81K - $101K/yr

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious ... Awareness of AI/GenAI governance and model risk considerations. * Good understanding of business ...

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious ... Awareness of AI/GenAI governance and model risk considerations. * Good understanding of business ...

Showing results 41-52

Genai Engineer information

What is a GenAI engineer?

A GenAI Engineer is a professional who specializes in designing, developing, and deploying generative artificial intelligence (AI) models and applications. This role involves working with advanced machine learning techniques, such as large language models and generative adversarial networks, to create systems that can generate text, images, code, or other content. GenAI Engineers collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into products and services, ensuring ethical use and scalability. They also stay updated on the latest developments in AI research to continually improve model performance and effectiveness.

What are the key skills and qualifications needed to thrive as a GenAI engineer, and why are they important?

To thrive as a GenAI Engineer, you need expertise in machine learning, deep learning, and programming languages such as Python, along with a solid understanding of generative models like GANs and transformers. Familiarity with frameworks such as TensorFlow or PyTorch, and experience with cloud platforms and MLOps tools, are highly valuable; advanced degrees or certifications in AI or data science are often preferred. Strong problem-solving, creativity, and communication skills help GenAI Engineers design innovative solutions and effectively collaborate with multidisciplinary teams. These skills ensure the development of robust, scalable generative AI systems that address complex real-world challenges.

What are some typical challenges a GenAI engineer faces when deploying AI models in production environments?

GenAI Engineers often encounter challenges such as ensuring model scalability, addressing bias in generated outputs, and maintaining performance consistency in real-world applications. Deploying generative AI models requires careful monitoring to prevent unexpected or inappropriate outputs, as well as efficient resource management to handle large-scale computations. Collaborating closely with data engineers, product managers, and ML operations teams is essential to streamline deployment pipelines and quickly resolve issues that arise in live environments.

What is the difference between Genai Engineer vs Data Scientist?

AspectGenai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI/ML frameworksDegree in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentDevelops AI models, fine-tunes generative AI systems, collaborates with AI teamsAnalyzes data, builds predictive models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, research labs focusing on generative AIFinance, healthcare, marketing, and tech firms analyzing data for insights

While both roles require strong technical skills and a background in data or AI, Genai Engineers focus on developing and deploying generative AI models, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but serve different primary functions within AI and data-driven organizations.

What are popular job titles related to Genai Engineer jobs in Utah?

For Genai Engineer jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Genai Engineer jobs in Utah look for?

The top searched job categories for Genai Engineer jobs in Utah are:

Infographic showing various Genai Engineer job openings in Utah as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Senior Director AI Security

Ryder System, Inc.

Salt Lake City, UT • On-site

$150 - $200/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Key responsibilities

  • Develop and execute the enterprise AI Security strategy, operating model, governance framework, and multi-year roadmap.

  • Oversee AI security architecture reviews, secure design approvals, and security assessments for enterprise AI initiatives.

  • Partner with various business and technical leaders to securely enable enterprise AI adoption.


Ryder rating

7.1

Company rating: 7.1 out of 10

Based on 516 frontline employees who took The Breakroom Quiz

196th 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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