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How much do ai cyber security jobs pay per year?

As of Aug 19, 2026, the average yearly pay for ai cyber security 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 an AI Cyber Security?

An AI Cyber Security job involves using artificial intelligence to protect digital systems from cyber threats. Professionals in this role develop, implement, and manage AI-driven security tools to detect, prevent, and respond to cyberattacks. They work with machine learning models, threat intelligence, and automated security protocols to enhance an organization's defenses. This role requires expertise in cybersecurity, AI, and data analysis to stay ahead of evolving threats.

What are some common challenges faced by professionals working in AI Cyber Security?

AI Cyber Security professionals often navigate the complexities of keeping up with rapidly evolving threats that leverage artificial intelligence to bypass traditional defenses. They must continuously adapt to new vulnerabilities and ensure that AI models themselves are robust against adversarial attacks. Collaborating with data scientists, IT teams, and compliance officers is common to ensure secure system architecture and regulatory compliance. Maintaining up-to-date knowledge of threat intelligence and emerging technologies is essential to stay ahead. This dynamic environment presents the challenge of balancing innovative AI deployments with rigorous security protocols.

What are the key skills and qualifications needed to thrive in the AI Cyber Security position, and why are they important?

To thrive in an AI Cyber Security role, you need a solid understanding of cybersecurity principles, artificial intelligence, machine learning, and data analysis, typically backed by a degree in computer science, cybersecurity, or a related field. Familiarity with tools such as Python, TensorFlow, SIEM platforms, and certifications like CISSP or CEH are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication are key soft skills that enhance performance in this position. These skills ensure you can anticipate and defend against advanced threats, integrate AI solutions responsibly, and collaborate efficiently within cross-disciplinary teams.

What cities are hiring for Ai Cyber Security jobs?

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What are the most commonly searched types of Ai Cyber Security jobs?

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What states have the most Ai Cyber Security jobs?

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Infographic showing various Ai Cyber Security job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $132,962 per year, or $63.9 per hour.

Cyber Security Analyst - IT Strategy Consultant - AI Cybersecurity

J-RAM IT Consulting Inc.

Dallas, TX โ€ข On-site

Other

Posted yesterday

New


Job description

Position: Cyber Security Analyst - IT Strategy Consultant - AI Cybersecurity
Location: Dallas TX Hybrid role
Duration: 6-12 Months Contract

Look for 10+ years overall experience resources.
Job Summary:
We are seeking an experienced Cybersecurity Consultant to support intake and triage activities for new AI use cases, identifying impacted Cyber Teams; build and train an AI agent to conduct triage activities long-term, hooking into established intake; facilitate communication between Cybersecurity and AI teams, representing Cyber in some forums; gather and document detailed requirements across select AI security initiatives within Cyber; assist with select AI Security tool evaluations for identified implementation.
WORK ACTIVITIES/CONTEXT:
Support intake and triage of new AI use cases by collecting required information, assessing scope, identifying potential Cybersecurity impacts, and routing work to the appropriate Cyber teams.
Define, document, and refine an enterprise AI security intake and triage process that spans multiple Cybersecurity, AI, Technology, data, architecture, governance, and business teams.
Create intake questions, decision criteria, routing logic, service expectations, escalation paths, ownership definitions, process measures, and supporting documentation.
Build, train, test, and improve an AI agent that performs repeatable intake-triage activities and integrates with the established intake workflow and approved enterprise platforms.
Develop prompts, classification criteria, knowledge sources, retrieval patterns, guardrails, human-review points, exception handling, and quality measures for the triage agent.
Document the AI agent s dependencies, integration points, data needs, access requirements, decisions, limitations, operating procedures, and ongoing ownership.
Maintain human oversight and validation during agent development and adoption; use feedback and observed outcomes to improve accuracy, consistency, and routing quality.
Facilitate communication between Cybersecurity and AI teams, ensuring business objectives, technical designs, security needs, decisions, and follow-up actions are clear.
Represent Cybersecurity in designated cross-organizational AI forums, communicate Cybersecurity perspectives, capture commitments, and route questions to the appropriate subject matter experts.
Lead discovery sessions and document business, functional, nonfunctional, security, data, integration, operational, and reporting requirements for selected AI security initiatives.
Assess and document technical dependencies, upstream and downstream systems, interfaces, data flows, identity and access needs, constraints, risks, and decision points.
Translate requirements into epics, features, stories, process maps, evaluation criteria, traceability artifacts, recommendations, and executive-ready summaries as appropriate.
Support selected AI security tool evaluations by defining use cases and criteria, coordinating proof-of-concept activities, documenting findings, and preparing recommendations.
Manage stakeholder alignment across competing priorities, surface gaps and unresolved decisions, and drive clear ownership and next steps.
Create reusable templates, playbooks, knowledge articles, training materials, and governance artifacts that strengthen long-term AI security intake and enablement capabilities
WORK EXPERIENCE:
Experience solving complex problems and driving multiple stakeholders towards implementable solutions;
Experience developing communication strategies for buy-in and acceptance preferred;
Experience working in a cross-functional environment within technology domain;
Experience in Cybersecurity Identity and Access Management domain preferred
Experience and solid knowledge of strategic and financial analysis and issues/risk management and project change requests.
Ability to influence diverse customer groups to align on strategic goals and decisions
Experience working in a Scaled Agile Framework (SAFe) environment.
Consulting experience (highly desired)