ZipRecruiter

Log In

2

Remote Ai Cyber Security Jobs (NOW HIRING)

Weekday AI

Cybersecurity AI Specialist

$70 - $90/hr

Fully remote, asynchronous work environment with flexible scheduling * Opportunity to collaborate with highly skilled experts across cybersecurity and AI domains Interview Process * Short interview ...

next page

Showing results 1-20

All JobsAi Cyber Security JobsRemote Ai Cyber Security Jobs

Remote Ai Cyber Security information

See salary details

$40.5K

$122.9K

$180K

How much do remote ai cyber security jobs pay per year?

As of Aug 3, 2026, the average yearly pay for remote ai cyber security in the United States is $122,890.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $142,000.00 per year, depending on experience, location, and employer.

What is a remote AI cyber security professional?

A Remote AI Cyber Security professional is an expert who works from a remote location to protect computer systems, networks, and data using artificial intelligence technologies. They leverage AI tools to detect, prevent, and respond to cyber threats in real time. Their responsibilities often include monitoring for security breaches, analyzing threats, developing automated defense systems, and ensuring compliance with security policies. Working remotely allows these professionals to support organizations from anywhere, using secure communication tools and virtual platforms.

What is the difference between Remote Ai Cyber Security vs Remote Cyber Security Analyst?

AspectRemote Ai Cyber SecurityRemote Cyber Security Analyst
CertificationsCompTIA Security+, Certified Ethical Hacker (CEH), CISSPCompTIA Security+, CISSP, GIAC Security Essentials (GSEC)
Work EnvironmentFocus on AI systems, machine learning models, and automation tools in cybersecurityFocus on monitoring, threat detection, and incident response across networks and systems
Industry UsageTech companies, AI-driven organizations, cybersecurity firms integrating AIFinancial, healthcare, government, and corporate sectors

Remote Ai Cyber Security specialists focus on integrating AI and machine learning into cybersecurity solutions, while Remote Cyber Security Analysts primarily monitor and respond to security threats. Both roles require similar certifications but differ in their technical focus and work environment.

What are the key skills and qualifications needed to thrive as a remote AI cyber security specialist?

To thrive as a Remote AI Cyber Security specialist, you generally need expertise in cybersecurity principles, AI/machine learning concepts, threat analysis, and relevant degrees or certifications such as CISSP or CEH. Familiarity with security tools like SIEM systems, cloud security platforms, and frameworks for secure AI (e.g., TensorFlow Security, PyTorch) is commonly required. Strong analytical thinking, problem-solving abilities, and effective remote communication skills make candidates stand out. These competencies are essential for proactively identifying threats, securing AI-driven systems, and collaborating efficiently in distributed work environments.

What are some common challenges faced by remote AI cyber security professionals, and how can they be addressed?

Remote AI Cyber Security professionals often encounter challenges such as collaborating effectively with distributed teams, staying updated on evolving threats, and maintaining secure virtual work environments. To address these challenges, it's important to use secure communication tools, participate in regular virtual team meetings, and follow best practices for endpoint security. Additionally, continuous learning through online courses and industry forums helps professionals stay current with the latest cyber threats and AI-driven defense techniques.
More about Remote Ai Cyber Security jobs
What cities are hiring for Remote Ai Cyber Security jobs? Cities with the most Remote Ai Cyber Security job openings:
What are the most commonly searched types of Ai Cyber Security jobs? The most popular types of Ai Cyber Security jobs are:
What states have the most Remote Ai Cyber Security jobs? States with the most job openings for Remote Ai Cyber Security jobs include:
What job categories do people searching Remote Ai Cyber Security jobs look for? The top searched job categories for Remote Ai Cyber Security jobs are:
Remote Ai Cyber Security jobs near you
Infographic showing various Remote Ai Cyber Security job openings in the United States as of July 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 100% Remote job distribution, with an average salary of $122,890 per year, or $59.1 per hour.

REMOTE - AI Cybersecurity Engineer Principal

Huntington

Remote

Full-time

Posted 21 days ago

Job description

Description

The AI Cybersecurity Engineer Principle is responsible for designing, developing, and securing AI-driven solutions that enhance cybersecurity capabilities and enable safe enterprise adoption of artificial intelligence. This role bridges AI engineering, cybersecurity, and cloud platforms to deliver intelligent automation, advanced analytics, and secure application architectures. The position focuses on embedding security, governance, and risk controls into AI systems while driving innovation through agentic AI, automation, and data-driven decision-making.

Duties & Responsibilities

  • AI Solution Development: Design, build, and deploy AI/ML and generative AI applications to support cybersecurity operations and enterprise use cases.
  • Security Integration: Embed cybersecurity controls, secure coding practices, and data protection measures into AI applications and development pipelines.
  • Cyber Use Case Enablement: Develop solutions for threat detection, alert triage, vulnerability analysis, identity analytics, and risk scoring.
  • Automation & Agentic AI: Implement intelligent automation and agent-driven workflows to optimize cyber operations and reduce manual effort.
  • Data & Analytics: Engineer pipelines and analytics solutions for processing logs, telemetry, and security data to generate actionable insights.
  • Cloud & Platform Engineering: Deploy and manage scalable AI solutions in cloud-native environments using containers, APIs, and CI/CD pipelines.
  • System Integration: Integrate AI applications with enterprise and cybersecurity tools (SIEM, SOAR, IAM, data platforms).
  • Governance & Compliance: Ensure alignment with AI governance, regulatory requirements, and secure SDLC practices.
  • Collaboration: Partner with cybersecurity, engineering, data, and business teams to deliver secure, scalable AI capabilities

Basic Qualifications:

  • Bachelor's Degree or 4+ additional years of equivalent experience.
  • 8+ years of production support and design of Cyber Security technologies.
  • 8+ years of operational experience with security technologies.
  • 8+ years of implementing or utilizing technology lifecycles and best practices (SDLC lifecycle).

Preferred Qualifications

  • Experience in the implementation of cyber security tools (hardware and software)
  • Experience in participating and leading projects and implementing new technologies and solutions
  • Experience with agentic AI, Claude code, copilots, RAG architectures, and LLM orchestration frameworks
  • Experience implementing AI governance, model risk management, and security guardrails
  • Familiarity with cybersecurity platforms (SIEM, SOAR, EDR/XDR, vulnerability management, IAM tools)
  • Proficiency in modern programming languages such as Python, Java, .NET/C#, JavaScript/TypeScript, or Go, with strong API and backend development skills.
  • Demonstrated experience designing and developing RESTful APIs, microservices, and event-driven services to support enterprise AI and automation capabilities.
  • Strong hands-on software development experience with the ability to design, build, test, and deploy production-grade applications.
  • Ability to build and maintain a centralized AI agent registry that supports agent onboarding, unique agent identification, metadata management, ownership tracking, lifecycle status, versioning, and auditability.
  • Experience developing user interfaces and operational dashboards for monitoring, managing, and supporting AI agents, workflows, system health, and service activity.
  • Knowledge of data engineering, streaming analytics, and log/telemetry processing
  • Experience integrating applications with identity and access management platforms, including OAuth 2.0, OIDC, scoped tokens, service principals, managed identities, and role-based access controls.


Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)

Yes

Workplace Type:

Remote

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds:  in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters:  Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume.  All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

Apply