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Generative Ai Cybersecurity Jobs in Tennessee (NOW HIRING)

Deloitte

Cyber - AWS Cloud Security - Manager

Nashville, TN · On-site

$107K - $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

Memphis, TN · On-site

$107K - $145K/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 ...

Accenture

Senior Data Scientist

Nashville, TN · On-site

... generative, and agentic AI systems. * Collaborate with data engineers, software engineers, machine learning engineers, architects, cybersecurity specialists, and platform teams to operationalize ...

Accenture

Senior Data Scientist

Morristown, TN · On-site

... generative, and agentic AI systems. * Collaborate with data engineers, software engineers, machine learning engineers, architects, cybersecurity specialists, and platform teams to operationalize ...

Symmetry

$13.25 - $17.75/hr

... cybersecurity industry. About Symmetry Systems Symmetry Systems is the Data+AI Security company ... Proficiency with generative AI * Video editing skills * Experience with motion graphics or ...

Symmetry

$14.50 - $19.50/hr

... cybersecurity industry. About Symmetry Systems Symmetry Systems is the Data+AI Security company ... Proficiency with generative AI * Video editing skills * Experience with motion graphics or ...

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Generative Ai Cybersecurity information

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 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 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.

Can generative AI be used in cybersecurity?

Generative AI is increasingly used in cybersecurity roles to develop advanced threat detection, automate incident response, and identify vulnerabilities. Cybersecurity professionals leverage tools like machine learning models to analyze large data sets and improve security measures efficiently.

What are popular job titles related to Generative Ai Cybersecurity jobs in Tennessee?

For Generative Ai Cybersecurity jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Generative Ai Cybersecurity jobs in Tennessee look for?

The top searched job categories for Generative Ai Cybersecurity jobs in Tennessee are:

What cities in Tennessee are hiring for Generative Ai Cybersecurity jobs?

Cities in Tennessee with the most Generative Ai Cybersecurity job openings:

Generative Ai Cybersecurity jobs near you
Infographic showing various Generative Ai Cybersecurity job openings in Tennessee as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 74% In-person, 7% Hybrid, and 19% Remote job distribution.

Sr. UiPath Developer / AI

Ruri Software Technologies LLC

Nashville, TN • On-site

$92K - $127K/yr

Full-time

Posted 25 days ago

Job description

Title: UiPath Developer - AI/System Programmer 4
Nashville, TN - Onsite/Hybrid
Only Locals required - Tennessee locals only
W2 position / C2C will not considered
The UiPath Developer is responsible for designing, developing, testing, deploying, and maintaining Robotic Process Automation (RPA) solutions that improve operational efficiency, accuracy, compliance, and citizen service delivery across state government agencies. This role supports both traditional linear automation workflows and emerging Agentic AI solutions using UiPath's automation platform.
Key Duties and Responsibilities
Design, develop, test, and implement UiPath automation solutions for state government
business processes.
Build and maintain automations including attended, unattended, and scheduled bots for
repetitive, rules-based workflows.
Analyze business requirements and translate them into scalable automation solutions using
UiPath Studio, UiPath Studio Web, Orchestrator, and related technologies.
Develop process workflows, exception handling, logging, auditing, and monitoring capabilities for enterprise-grade automation.
Create reusable automation components, libraries, & templates to support enterprise
automation initiatives.
Support integration of UiPath solutions with government systems, databases, APIs, document management systems, and cloud services.
Implement secure automation practices aligned with state cybersecurity, privacy, and
compliance standards.
Perform testing, debugging, troubleshooting, and ongoing maintenance of automation
solutions.
Monitor bot performance, resolve production issues, and optimize automation reliability and
efficiency.
Develop technical documentation and workflow diagrams.
Support citizen service modernization initiatives through intelligent automation technologies.
Agentic AI Responsibilities
Design and implement Agentic AI solutions using UiPath Autopilot, AI Center, Document Understanding, Communications Mining, and generative AI capabilities.
Develop AI-powered agents capable of autonomous decision-making, contextual reasoning, and multi-step task orchestration within defined governance controls.
Integrate Large Language Models (LLMs), AI services, and intelligent document processing into automation workflows.
Build human-in-the-loop workflows that combine AI agents with employee oversight and
approval processes.
Develop intelligent agents capable of interpreting unstructured data, emails, forms, documents, and citizen communications.
Implement retrieval-augmented generation (RAG), prompt engineering, and AI orchestration
techniques within UiPath ecosystems.
Ensure responsible AI practices including transparency, auditability, bias mitigation, security,
and compliance with government policies.
Evaluate emerging AI and automation technologies to improve state operational efficiency and service delivery.
Assist with establishing enterprise standards and governance for Agentic AI implementations across agencies.
Preferred Technical Skills
UiPath Studio, StudioX, Orchestrator, AI Center, Action Center, and Document Understanding
REFramework and enterprise RPA design patterns
API integrations, REST/SOAP services, SQL databases
OCR technologies and intelligent document processing
Generative AI, LLM integration, prompt engineering, and AI orchestration
Programming/scripting languages such as C#, VB.NET, Python, PowerShell, or JavaScript
Cloud platforms and enterprise authentication/security concepts
Agile/Scrum development methodologies

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