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Generative Ai Cybersecurity Jobs in Georgia (NOW HIRING)

Deloitte

Cyber - AWS Cloud Security - Manager

Atlanta, GA · On-site

$106K - $144K/yr

... cybersecurity * Experience with container security, application security, or DevSecOps practices * Experience securing machine learning, generative AI, or agentic AI workloads and pipelines on AWS ...

Deloitte

Cyber - AWS Cloud Security - Manager

Atlanta, GA · On-site

$106K - $144K/yr

... cybersecurity * Experience with container security, application security, or DevSecOps practices * Experience securing machine learning, generative AI, or agentic AI workloads and pipelines on AWS ...

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Generative Ai Cybersecurity information

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.
What are popular job titles related to Generative Ai Cybersecurity jobs in Georgia? For Generative Ai Cybersecurity jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Generative Ai Cybersecurity jobs in Georgia look for? The top searched job categories for Generative Ai Cybersecurity jobs in Georgia are:
What cities in Georgia are hiring for Generative Ai Cybersecurity jobs? Cities in Georgia with the most Generative Ai Cybersecurity job openings:
Generative Ai Cybersecurity jobs near you
Infographic showing various Generative Ai Cybersecurity job openings in Georgia as of August 2026, with employment types broken down into 74% Full Time, 8% Part Time, and 18% Contract. Highlights an 67% In-person, 8% Hybrid, and 25% Remote job distribution.

AI Cybersecurity Engineer Principal

Huntington Bank

Atlanta, GA • On-site

$140 - $210/hr

Other

Posted 2 days ago

New

Huntington National Bank rating

8.1

Company rating: 8.1 out of 10

Based on 170 frontline employees who took The Breakroom Quiz

65th of 170 rated banks

Job description

## AI Cybersecurity Engineer PrincipalApplyremote type: Remotelocations: Ohio (Central Ohio Region): Detroit, MI: Tupelo, MS: Dallas, TX: Atlanta, GAtime type: Full timeposted on: Posted Todayjob requisition id: R0073646# **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:**RemoteOur Approach to **Office** Workplace TypeCertain 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. #J-18808-Ljbffr

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