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Generative Ai Cybersecurity Jobs (NOW HIRING)

Stay updated with the latest advancements in Generative AI and cybersecurity automation. Qualifications: * 3+ years of experience in AI/ML engineering with a strong focus on Generative AI and LLMs.

Kai is an AI company focused on revolutionizing cybersecurity for the machine-speed era. They are seeking a Principal Applied AI Scientist to lead the design and deployment of advanced Generative AI ...

Additionally, we work in generative AI and large language models, data visualization, security ... You'll get a chance to work with elite AI and cyber security professionals and university faculty ...

Additionally, we work in generative AI and large language models, data visualization, security ... You'll get a chance to work with elite AI and cyber security professionals and university faculty ...

... generative AI (GenAI) systems and large language models (LLMs). Qualifications : Required : • ... Cyber Security Experience • Strong experience and detailed technical knowledge in security ...

Additionally, we work in generative AI and large language models, data visualization, security ... You'll get a chance to work with elite AI and cyber security professionals and university faculty ...

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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 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
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:
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.
Cyber Strategy, Risk & Compliance - AI Engineering for Cybersecurity - Manager

Cyber Strategy, Risk & Compliance - AI Engineering for Cybersecurity - Manager

Pwc

Chicago, IL • On-site

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

20th of 57 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Cybersecurity & Privacy

Management Level

Manager

Job Description & Summary

At PwC, our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients, providing advice, and solutions. They help organisations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively.
In regulatory risk compliance at PwC, you will focus on confirming adherence to regulatory requirements and mitigating risks for clients. You will provide guidance on compliance strategies and help clients navigate complex regulatory landscapes.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

  • Analyse and identify the linkages and interactions between the component parts of an entire system.
  • Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
  • Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
  • Develop skills outside your comfort zone, and encourage others to do the same.
  • Effectively mentor others.
  • Use the review of work as an opportunity to deepen the expertise of team members.
  • Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
  • Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

The Opportunity

As part of the Cyber Strategy, Risk & Compliance team, you will be at the forefront of transforming cybersecurity for our clients through innovative, AI-driven solutions. As a Manager, you will lead large projects, innovate processes, andmaintainoperational excellence while interacting with clients at a senior level to drive project success. You will design and architect AI-enabled solutions and transformations for cybersecurity organizations, helping them stay ahead of emerging threats.

Responsibilities

- Lead and manage strategy, transformation and engineering projects and teams

- Design and architect AI-enabled solutions and transformations for cybersecurity organizations and functions

- Innovate and enhance processes by integrating AI and machine learning capabilities

- Engage with clients at senior levels to drive success and provide strategic guidance

- Design and implement enterprise-wide cyber risk governance frameworks

- Develop thorough business risk scenarios and create AI-powered cyber threat models

- Provide industry-leading practices in AI-driven cyber risk management

- Architect agentic automations to scale cybersecurity capabilities

What You Must Have

- Bachelor's Degree

- At least 5 years of experience in cybersecurity and/or AI/ML engineering

What Sets You Apart

- Master's Degree in software development, AI/ML engineering, or another relevant technical field preferred

- A minimum of 2 years of Team Management experience

- A minimum of 1 year of experience in designing and implementing agentic and/or generative AI systems

- Demonstrated knowledge of AI services in AWS or GCP, especially Google Vertex AI SDK and Amazon Bedrock/AWS Boto3

- Knowledge of Python and leading AI frameworks (e.g., LangChain)

- Professional certifications such as CISSP (Certified Information Systems Security Professional), CISM (Certified Information Security Manager), or CRISC (Certified in Risk and Information Systems Control), Google AI Professional Certificate, AWS Certified AI Practitioner, Solution Architect-type certificates from AWS and/or Google, AWS Certified Security - Specialty, AWS Certified Generative AI Developer - Professional, AWS Security Engineer

- Experience in designing and implementing enterprise-wide cyber risk management controls

- Technology sales enablement experience, especially cybersecurity solutions

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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