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Generative Ai Cybersecurity Jobs (NOW HIRING)

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AI Cybersecurity Engineer

Plano, TX

This role sits at the convergence of Zero Trust architecture, Generative AI, agentic systems, and modern security engineering. The AI Cybersecurity Engineer will design, build, and operationalize ...

Upbound

AI Cybersecurity Engineer

Plano, TX

This role sits at the convergence of Zero Trust architecture, Generative AI, agentic systems, and modern security engineering. The AI Cybersecurity Engineer will design, build, and operationalize ...

Upbound

AI Cybersecurity Engineer

Plano, TX

This role sits at the convergence of Zero Trust architecture, Generative AI, agentic systems, and modern security engineering. The AI Cybersecurity Engineer will design, build, and operationalize ...

SEI Investments

AI Cybersecurity Engineer

Oaks, PA · On-site

We are seeking an AI Cybersecurity Engineer to serve as a technical security lead and architect ... Proven experience designing and implementing security for LLMs and generative AI systems including ...

SEI Investments

AI Cybersecurity Engineer

Oaks, PA · On-site

We are seeking an AI Cybersecurity Engineer to serve as a technical security lead and architect ... Proven experience designing and implementing security for LLMs and generative AI systems including ...

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Generative Ai Cybersecurity information

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How much do generative ai cybersecurity jobs pay per year?

As of Jul 28, 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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI cybersecurity specialist, often requiring advanced skills, extensive experience, and relevant certifications. In the context of generative AI cybersecurity, such roles may involve developing secure AI systems, threat detection, and protecting AI infrastructure, with compensation reflecting expertise and responsibility.

Can you make $500,000 a year in cyber security?

Generative AI cybersecurity professionals with advanced skills, certifications, and extensive experience can potentially earn $500,000 or more annually, especially in senior or specialized roles such as security architects or consultants. Achieving this level often requires expertise in AI tools, threat analysis, and leadership in high-demand environments. Compensation varies based on industry, location, and individual qualifications.

How much does generative AI cybersecurity pay?

Generative AI cybersecurity professionals typically earn between $80,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with specialized skills in AI models and security tools can command higher salaries, especially in high-demand markets.

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.

Can generative AI be used in cyber security?

Generative AI is increasingly used in cybersecurity roles to identify vulnerabilities, generate realistic attack simulations, and develop adaptive defense mechanisms. Cybersecurity professionals leverage tools like machine learning models to enhance threat detection and automate response strategies, often requiring knowledge of AI algorithms and security protocols.
More about Generative Ai Cybersecurity jobs
What cities are hiring for Generative Ai Cybersecurity jobs? Cities with the most Generative Ai Cybersecurity job openings:
What states have the most Generative Ai Cybersecurity jobs? States with the most job openings for Generative Ai Cybersecurity jobs include:
What job categories do people searching Generative Ai Cybersecurity jobs look for? The top searched job categories for Generative Ai Cybersecurity jobs are:
Generative Ai Cybersecurity jobs near you
Infographic showing various Generative Ai Cybersecurity job openings in the United States as of July 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person 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 25 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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