1

Generative Ai Cybersecurity Jobs (NOW HIRING)

Familiarity with generative AI, large language models, and prompt engineering concepts. Experience ... Ability to learn cybersecurity principles including CIA triad, defense-in-depth, zero trust, and ...

Familiarity with generative AI, large language models, and prompt engineering concepts. Experience ... Ability to learn cybersecurity principles including CIA triad, defense-in-depth, zero trust, and ...

Familiarity with generative AI, large language models, and prompt engineering concepts. Experience ... Ability to learn cybersecurity principles including CIA triad, defense-in-depth, zero trust, and ...

Familiarity with generative AI, large language models, and prompt engineering concepts. Experience ... Ability to learn cybersecurity principles including CIA triad, defense-in-depth, zero trust, and ...

Familiarity with generative AI, large language models, and prompt engineering concepts. Experience ... Ability to learn cybersecurity principles including CIA triad, defense-in-depth, zero trust, and ...

Cybersecurity Engineer Location : Dallas, TX (2-3 Days Onsite in a week) Duration : FTE or Contact ... Generative AI and Agentic AI workloads hosted on AWS, with an emphasis on AWS Bedrock Security ...

Prior experience supporting software, SaaS, cloud, AI, cybersecurity, data, or other technology companies. * Experience advising on AI governance, generative AI, AI regulatory compliance, AI risk ...

next page

Showing results 1-20

Generative Ai Cybersecurity information

See salary details

$57K

$133K

$186K

How much do generative ai cybersecurity jobs pay per year?

As of Sep 14, 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 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.

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 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.

Can generative AI be used in cybersecurity?

Generative AI is increasingly used in cybersecurity roles to develop advanced threat detection, automate incident response, and identify vulnerabilities. Cybersecurity professionals leverage tools like machine learning models to analyze large data sets and improve security measures efficiently.
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 are popular job titles for Generative Ai Cybersecurity?

Popular job titles for Generative Ai Cybersecurity:

Infographic showing various Generative Ai Cybersecurity job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 62% Physical, 4% Hybrid, and 34% Remote job distribution, with an average salary of $132,962 per year, or $63.9 per hour.

AI & Cybersecurity Solutions Analyst

Arlington, VA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New


Job description

CNA fosters an inclusive culture that values diverse backgrounds and perspectives. Our flexible and engaging work environment encourages iterative and creative collaboration at every stage of the problem solving process. Our employees are committed to helping clients develop effective solutions to better manage their programs through scientific, data-driven approaches. We are looking for creative and innovative individuals to help carry out our mission.

Primary Purpose The AI & Cybersecurity Solutions Analyst will play a critical role in the development, evaluation, and implementation of secure AI solutions at CNA. This position bridges technical AI development with cybersecurity requirements, ensuring that AI initiatives are designed with secure-by-design principles from inception through deployment. The analyst will work collaboratively with AI development teams, cybersecurity specialists, and business stakeholders to assess requirements, identify risks, prototype solutions, and contribute to the technical implementation of AI capabilities that meet both functional and security objectives.
Job Description And/Or Duties
  • Collaborate with AI development teams to design, prototype, and test AI/ML solutions that address business requirements while adhering to security best practices.
  • Contribute to the technical implementation of AI models, automation workflows, and intelligent systems using appropriate frameworks and tools.
  • Conduct feasibility analyses for proposed AI initiatives, evaluating technical requirements, data needs, computational resources, and security implications.
  • Develop proof-of-concept solutions and technical demonstrations to validate AI approaches before full-scale implementation.
  • Perform security assessments of AI systems throughout the development lifecycle, identifying vulnerabilities related to data privacy, model security, adversarial attacks, and compliance requirements.
  • Work with cybersecurity teams to implement security controls, monitoring capabilities, and incident response procedures for AI solutions.
  • Evaluate third-party AI tools, platforms, and services for security posture, compliance with organizational standards, and integration requirements. Document security architectures, threat models, and risk assessments for AI implementations.
  • Analyze AI system performance, security metrics, and operational data to identify optimization opportunities and potential security concerns. Create and maintain technical documentation including system architectures, data flow diagrams, integration specifications, security controls, and standard operating procedures.
  • Research emerging AI technologies, security threats to AI systems, and industry best practices to inform strategic recommendations and responsible AI principles. Prepare technical reports, findings, and recommendations for leadership and stakeholder review.
  • Serve as a technical liaison between AI development teams, cybersecurity teams, and business units to ensure alignment on requirements and security standards.
  • Provide technical guidance and knowledge sharing to team members on AI capabilities, security considerations, and implementation best practices. Participate in project planning sessions, architecture reviews, and security assessments as the AI subject matter expert.
  • Perform other duties as assigned that support the development and secure deployment of AI solutions.
Job Requirements
  • Education: Bachelor's degree in Computer Science, Information Technology, Cybersecurity, Data Science, Engineering, or related field or combination of education and work experience required. Advanced degree (Master's in AI/ML, Cybersecurity, or related field) and industry certifications (AI/ML, security, and/or cloud certification related to AI services) preferred.
  • Experience: Minimum 3-5 year experience in IT, cybersecurity, and/or Al/ML development with demonstrated experience with Al/ML projects, including model development, deployment, or integration. Experience with cloud platforms (AWS, Azure, GCP) and their Al/ML services preferred.
  • Skills: Working knowledge of machine learning frameworks (TensorFlow, PyTorch, scikit-learn, or similar). Understanding of AI/ML model development lifecycle, including data preparation, training, validation, and deployment. Familiarity with generative AI, large language models, and prompt engineering concepts. Experience with Python, R, or other programming languages used in AI development. Ability to learn cybersecurity principles including CIA triad, defense-in-depth, zero trust, and secure SDLC. Knowledge of AI-specific security concerns (adversarial ML, model poisoning, data privacy, bias). Familiarity with security frameworks (NIST, ISO 27001) and compliance requirements (GDPR, CCPA). Understanding of cloud security, API security, and data protection practices. Strong analytical skills with ability to evaluate complex technical requirements and trade-offs. Experience with data analysis, metrics reporting, and technical troubleshooting. Ability to conduct research and synthesize findings into actionable recommendations. Effective written and verbal communication skills with ability to create clear technical documentation. Ability to explain technical concepts to both technical and non-technical audiences in a clear and concise manner. Ability to work effectively in cross-functional teams. Strong organizational skills and ability to manage multiple concurrent projects. Exercises independent judgment while working under readily available supervision.
  • Other: On-call availability outside of normal working hours. Ability to obtain and maintain a Top-Secret clearance.
  • Remote/Hybrid Work Eligibility: This position is eligible for telecommuting or hybrid work arrangements at the discretion of the Supervisor. Employees may be required to work at CNA headquarters or other work locations resulting in changes to the scheduled telecommuting or hybrid work arrangements.
CNA offers competitive salaries and a comprehensive benefits package, which includes health, dental, and vision insurance, life and disability insurance, and a 403(b) retirement plan with employer matching. Additionally, we provide generous paid time off programs to promote a health work-life balance. Eligibility for these benefits varies based on employment classification.
CNA is committed to providing equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service and protected veterans, or other non-merit based factors. In addition to federal legal requirements, CNA complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. These protections extend to all terms and conditions of employment, including recruiting and hiring practices, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training and career development programs. For more information about EEO protections, please view the EEO is the law posters here: "EEO is the Law" Poster", "EEO Poster Supplement". The pay transparency policy is available here: Pay Transparency Nondiscrimination Poster. To be considered for hire, all individuals applying for positions with CNA are subject to a background investigation. For positions requiring access to classified information, U.S. citizenship is required. Individuals will also be subject to an additional government background investigation, and continued employment eligibility is contingent upon the ability to obtain and maintain an active security clearance.
#J-18808-Ljbffr