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Generative Ai Cybersecurity Jobs (NOW HIRING)

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 ...

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 ...

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 ...

$113K - $149K/yr

Hands-on experience with AI systems, including generative AI, reinforcement learning, computer vision, or agent-based systems. * Strong background in cybersecurity, cyber operations, or related ...

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 ...

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 ...

Enterprise Architect - Generative AI

Manhattan, NY · On-site

$76 - $98/hr

... with cybersecurity, legal, risk, and compliance teams to ensure regulatory adherence and data ... with Generative AI technologies, including LLMs, prompt engineering, RAG pipelines, and vector ...

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Senior AI Cyber Security Engineer

Mariposa, CA · On-site

$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 ...

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Generative Ai Cybersecurity information

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$57K

$133K

$186K

How much do generative ai cybersecurity jobs pay per year?

As of Jul 8, 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:
Infographic showing various Generative Ai Cybersecurity job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $132,962 per year, or $63.9 per hour.

Sr. AI Cybersecurity GRC Consultant

Logicplanet, Inc.

Dallas, TX • On-site

Other

Posted 2 days ago


Job description

Job Title: Sr. AI Cybersecurity GRC Consultant
Location: Dallas, Texas (Onsite)
Duration: Long Term Contract

Required Skills
10–20 years of experience in Cybersecurity, Governance, Risk, and Compliance (GRC).
Experience securing AI/ML, Generative AI, or enterprise AI platforms.
Strong knowledge of:
NIST Cybersecurity Framework (CSF)
NIST AI Risk Management Framework (AI RMF)
ISO 27001
SOC 2
CIS Controls
PCI DSS (preferred)
GDPR/CCPA (preferred)
Hands-on experience with GRC platforms such as ServiceNow GRC, RSA Archer, or MetricStream.
Knowledge of cloud security (AWS, Azure, or Google Cloud Platform).
Experience with AI security risks including prompt injection, data leakage, model governance, and secure AI deployment.
Strong understanding of vulnerability management, risk assessments, policy development, and audit readiness.