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Generative Ai Cybersecurity Jobs (NOW HIRING)

Lead Engineer Data & AI

Boston, MA · On-site

$111K - $146K/yr

Located in Downtown Boston, this company invests in high-growth sectors like AI, cybersecurity ... Generative AI Integration, applying LLMs for automated documentation * Knowledge of cloud platforms ...

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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 9, 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.
Artificial Intelligence (AI) Cybersecurity Scientist (Ph.D.)

Artificial Intelligence (AI) Cybersecurity Scientist (Ph.D.)

Exponent Inc.

Menlo Park, CA • On-site

Full-time

Retirement

Posted 8 days ago


Job description

Exponent is the only premium engineering and scientific consulting firm with the depth and breadth of expertise to solve our clients’ most profoundly unique, unprecedented, and urgent challenges.  

Our vision is to engage multidisciplinary teams of science, engineering, and regulatory experts to empower clients with solutions that create a safer, healthier, more sustainable world. For over five decades, we've connected the lessons of past failures with tomorrow's solutions to advise clients as they innovate technologically complex products and processes, ensure the safety and health of their users, and address the challenges of sustainability.  

Join our team of experts with degrees from top programs at over 500 universities and extensive experience spanning a variety of industries. At Exponent, you’ll contribute to the diverse pool of ideas, talents, backgrounds, and experiences that drives our collaborative teamwork and breakthrough insights. Plus, we help you grow your career through mentoring, sponsorship, and a culture of learning. Thanks for your interest in joining our team! 

Key statistics: 

  • 950+ Consultants 
  • 640+ Ph.D.s 
  • 90+ Disciplines 
  • 30+ Offices globally 

We are currently seeking an Artificial Intelligence (AI) Cybersecurity Scientist for our Electrical Engineering & Computer Science Practice in Menlo Park or Oakland, CA or other U.S. locations. In this role, you will work as part of a team to help clients:

  1. Securely and responsibly adopt artificial intelligence (AI) technologies
  2. Develop and implement assurance practices and frameworks for operational technology (OT) environments, including critical infrastructure
  3. Design, build, and evaluate AI-enabled systems that improve the cybersecurity posture of OT environments

  • Delivering highly technical AI consulting services to help clients adopt AI solutions securely, responsibly, and effectively
  • Developing approaches to evaluate, assure, and govern AI systems before deployment, with particular emphasis on cybersecurity
  • Evaluating AI systems for cybersecurity risks, including adversarial manipulation, data poisoning, model extraction, prompt injection, insecure tool use, and unsafe autonomous behavior
  • Applying cybersecurity and AI risk management frameworks such as the NIST Cybersecurity Framework, NIST AI Risk Management Framework, MITRE ATT&CK, MITRE ATLAS, ISA/IEC 62443, and relevant sector-specific critical infrastructure guidance
  • Leading efforts to design, develop, and evaluate AI models and systems that improve the cybersecurity posture of OT environments, beginning with threat detection and progressing toward more autonomous, agentic capabilities where appropriate
  • Leading or collaborating on all phases of the client engagement lifecycle, including identifying client needs, framing and scoping business problems, developing project and sprint plans, building and evaluating AI solutions, and translating insights into actionable recommendations
  • Advising clients on both technical and strategic business solutions, identifying new technology-driven opportunities, and helping clients plan scalable, sustainable, and efficient systems
  • Supporting business development by proactively building relationships with clients, identifying new project opportunities, and helping craft and execute business and technical solutions, either independently or collaboratively with firm leadership

  • Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, Cybersecurity, or a related technical discipline
  • Experience developing, evaluating, or deploying machine learning, deep learning, generative AI, or agentic AI systems
  • Expertise spanning AI model development, AI assurance, cybersecurity, OT systems, and software development using modern engineering best practices
  • Proficiency in at least two of the following: Python, R, C++, Linux, cloud platforms, containerization, MLOps tools, or cybersecurity analysis tools
  • Working understanding of common Operational Technologies (OT) architectures, protocols, and constraints, including industrial control systems, supervisory control and data acquisition systems, programmable logic controllers, distributed control systems, and safety-critical environments
  • Strong communication skills, with a demonstrated ability to translate complex technical, scientific, and business concepts for diverse audiences
  • Business acumen and entrepreneurial mindset with a track record of identifying value for clients, framing business plans, and driving business development
  • Strong project management and organizational skills; ability to thrive independently and as a collaborative team member in fast-paced, multidisciplinary settings
  • Presently legally authorized to work in the United States; no immigration sponsorship or processing required

Applicants are encouraged to submit a CV (Curriculum Vitae) with publications (feel free to include publications that are in review or pending) [not restricted to 1 page].


To learn more about life at Exponent and our impact, please visit the following links:
https://www.exponent.com/careers/life-exponent
https://www.exponent.com/company/our-impact

Attracting, inspiring, developing, and rewarding exceptional people with diverse backgrounds and expertise are central to our corporate culture. Our diverse team allows us to provide better value to our clients and enjoy an enriched work environment.  

Our firm is committed to offering a variety of programs and resources to support health and well-being. We believe that providing competitive benefits as well as compensation and recognition programs empowers our staff to do work that makes a difference. 


At Exponent, we have found that in-person interactions deepen employee engagement and are crucial for development, for realizing the full potential of our talented and diverse teams, and for building a more inclusive workplace where all have a sense of belonging. In our offices, you can expect a supportive culture and a collaborative, dynamic, multi-disciplinary work environment. Our consultants engage in-person in the office unless they are traveling for client work or other business activities.

We value the rich lives our colleagues enjoy outside of work and understand that work/life balance is critical to our employees and their well-being. Consultants have the autonomy to balance their work and personal schedules so you can meet with clients, visit inspection sites, attend conferences, and make time for priorities outside of work, too. It is this flexible, agile work style and working hours that allow our teams to drive innovation and results in their own ways, while meeting the needs of clients. #LI-Onsite


Our consultants are rewarded for their technical and business contributions and have an opportunity to plan for future success and career growth. Exponent's total compensation plan is consistent with its expectations of the quality and quantity of work performed and with the professional standards set by Exponent. At the Associate and Senior Associate level, total compensation includes base salary, bi-weekly bonuses for high-intensity efforts, annual bonus and 401(k) employer contribution of 7% of base salary.

The base salary range for this position is dependent on experience and capabilities which will be assessed during the interview process.


USD $140,000.00 - USD $154,000.00 /Yr.

Access benefits information on our Life@Exponent page: 

https://www.exponent.com/careers/life-exponent 

Exponent is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status. 

If you need assistance or accommodation due to a disability, you may email us at HR-Accommodations@exponent.com. 


US-CA-Menlo Park
US-CA-Oakland