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Generative Ai Cybersecurity Jobs (NOW HIRING)

ImmunityBio

Senior AI Cyber Security Engineer

El Segundo, CA · On-site

$122K - $167K/yr

Position Summary The Senior AI Cybersecurity Engineer is responsible for securing AI/ML systems ... Experience securing LLM and generative AI applications (e.g., RAG architectures, AI agents ...

New

ImmunityBio

Senior AI Cyber Security Engineer

Mariposa, CA

$119K - $163K/yr

Position Summary The Senior AI Cybersecurity Engineer is responsible for securing AI/ML systems ... Experience securing LLM and generative AI applications (e.g., RAG architectures, AI agents ...

New

NBCUniversal

Staff Cyber Security Engineer (AI)

... and generative AI technologies, including common security concerns and mitigations • Knowledge of best practices in the Cyber Security industry, including OWASP Top 10 and CWE/SANS Top 25 • ...

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How much do generative ai cybersecurity jobs pay per year?

As of Jun 5, 2026, the average yearly pay for generative ai cybersecurity in the United States is $132,962.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $150,000.00 per year, depending on experience, location, and employer.

What is the difference between Generative Ai Cybersecurity vs Cybersecurity Analyst?

AspectGenerative Ai CybersecurityCybersecurity Analyst
Required CredentialsCertifications in AI, cybersecurity, and data science (e.g., CISSP, CEH, AI certifications)Certifications like CISSP, CompTIA Security+, CEH
Work EnvironmentFocus on developing AI models, threat detection algorithms, and automation toolsMonitoring security systems, analyzing threats, implementing security measures
Employer & Industry UsageTech companies, cybersecurity firms, organizations deploying AI-driven security solutionsAll industries, including finance, healthcare, government, and private sectors

While Generative Ai Cybersecurity involves creating AI models to enhance security, Cybersecurity Analysts focus on monitoring and responding to threats. Both roles require cybersecurity knowledge, but Generative Ai Cybersecurity emphasizes AI development and automation, whereas Cybersecurity Analysts concentrate on threat analysis and incident response.

What are the key skills and qualifications needed to thrive as a Generative AI Cybersecurity Specialist, and why are they important?

To thrive as a Generative AI Cybersecurity Specialist, you need a strong background in cybersecurity principles, AI/ML concepts, and programming (often with degrees in computer science or related fields). Familiarity with cybersecurity tools (like SIEM, IDS/IPS), knowledge of AI frameworks (such as TensorFlow or PyTorch), and relevant certifications (e.g., CISSP, CEH, or AI-specific credentials) are typically required. Analytical thinking, problem-solving, and effective communication are essential soft skills for identifying threats and collaborating across technical teams. These skills and qualifications are critical to protect advanced AI systems from evolving cyber threats and ensure secure deployment of generative AI technologies.

What is Generative AI Cybersecurity?

Generative AI Cybersecurity refers to the use of advanced artificial intelligence models, such as generative adversarial networks (GANs) and large language models, to enhance cybersecurity measures. These AI systems can identify vulnerabilities, simulate cyberattacks, generate realistic phishing attempts for training, and automate threat detection and response. The goal is to proactively strengthen defenses and adapt to evolving cyber threats by leveraging the creative and predictive capabilities of generative AI. This field is rapidly evolving as organizations seek to stay ahead of increasingly sophisticated cyber adversaries.

How does a Generative AI Cybersecurity professional typically collaborate with other teams in an organization?

A Generative AI Cybersecurity professional often works closely with data scientists, software engineers, and IT security teams to identify system vulnerabilities and design AI-driven defenses. Collaboration is essential when developing and deploying AI models that detect threats, as cross-team input ensures that solutions are both technically robust and aligned with organizational security policies. Regular meetings and knowledge-sharing sessions are common, helping to address emerging risks quickly and effectively. This collaborative environment not only strengthens security posture but also offers opportunities for learning and professional growth.
More about Generative Ai Cybersecurity jobs
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Generative Ai Cybersecurity jobs near you
Infographic showing various Generative Ai Cybersecurity job openings in the United States as of May 2026, with employment types broken down into 3% Internship, 86% Full Time, 9% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $132,962 per year, or $63.9 per hour.

CDAO - Enterprise - Generative AI Program Manager, Cybersecurity

DoW Chief Digital and Artificial Intelligence Office (CDAO)

Arlington, VA • On-site

$148K - $180K/yr

Full-time

Posted 15 days ago

Job description

Job Summary:
The Chief Data and Artificial Intelligence Office (CDAO) is dedicated to accelerating the adoption of data, analytics, and artificial intelligence (AI) within the Department of War (DoW). As a Program Manager for Generative AI Cybersecurity, you will lead initiatives to secure AI-enabled capabilities, manage programs for generative AI security, and collaborate with various stakeholders to enhance cybersecurity measures.
Responsibilities:
• Lead the acquisition, development, and secure implementation of generative AI technologies to defend critical DoW networks and systems.
• Manage the budget, planning, and execution of a large-scale software development program focused on creating AI-driven cybersecurity tools and platforms.
• Provide subject matter expertise on the secure application of generative AI, including vulnerability analysis, AI-powered threat intelligence, and automated incident response.
• Advise DoW partners on the application of policy and best practices for AI assurance, model security, and the development of countermeasures against adversarial AI.
• Work with a diverse, cross-functional team of cybersecurity experts, AI researchers, software developers, and operational end-users to deliver capabilities that directly support DoW cyber missions.
Qualifications:
Required:
• U.S. Citizenship is required.
• Candidate is encouraged to provide e-portfolio, project samples, Github, etc. to their submission package.
• Males born after 12-31-59 must be registered or exempt from Selective Service.
• This position is subject to provisions of the WHS/OSD Priority Placement Program.
• Applicants for employment are covered by federal laws and Presidential Executive Orders designed to safeguard federal employees and job applicants from discrimination based on race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, or other non-merit-based factors.
• A three-year trial period may be required if not previously completed a trial or probationary period in the excepted or competitive service.
• Must be determined suitable for federal employment.
• Required to participate in the direct deposit program.
• This position is subject to pre-employment and random drug testing.
• We may use this announcement to fill additional vacancies within 90 days of the closing date.
• Recruitment, relocation, or retention incentives may be authorized based on the availability of funds.
• This position requires a Top Secret/ Sensitive Compartmented Information (SCI) security clearance.
• If you are a veteran claiming veteran's preference, as defined by Section 2108 of Title 5 U.S.C., you must submit documents verifying your eligibility with your application package.
• This position may require work other than normal duty hours, which may include evenings, weekends, and/or holidays and/or mandatory overtime.
• This position may occasionally require travel away from the normal duty station via military or commercial aircraft.
Company:
Welcome to the official account for the U.S. Department of War's Chief Digital and Artificial Intelligence Office. Founded in 2022, the company is headquartered in Washington, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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