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Generative Adversarial Network Jobs (NOW HIRING)

AnaVation

AI Security & LLM Engineer

Reston, VA · On-site

Adversarial Defense : Develop, implement, and maintain advanced input/output guardrails to ... EC-Council Certified Network Defender (CND); GlAC Global Industrial Cyber Security Professional ...

AnaVation

AI Security & LLM Engineer

Reston, VA · On-site

Adversarial Defense : Develop, implement, and maintain advanced input/output guardrails to ... EC-Council Certified Network Defender (CND); GlAC Global Industrial Cyber Security Professional ...

IntelliGenesis

$175K - $220K/yr

... with adversarial machine learning and AI security * Background in cyber operations or network ... Familiarity with large language models (LLMs) and generative AI systems * Knowledge of secure ...

IntelliGenesis LLC

Senior AI Engineer

Reston, VA · On-site

$215K - $245K/yr

... with adversarial machine learning and AI security * Background in cyber operations or network ... Familiarity with large language models (LLMs) and generative AI systems * Knowledge of secure ...

IntelliGenesis

Senior AI Engineer

Reston, VA · On-site

$215K - $245K/yr

... with adversarial machine learning and AI security * Background in cyber operations or network ... Familiarity with large language models (LLMs) and generative AI systems * Knowledge of secure ...

IntelliGenesis

Senior AI Engineer

Reston, VA · On-site

... with adversarial machine learning and AI security * Background in cyber operations or network ... Familiarity with large language models (LLMs) and generative AI systems * Knowledge of secure ...

LeoLabs, Inc.

Senior Software Engineer

Washington, DC · On-site

$138K - $182K/yr

Through our proprietary global radar network and AI-enabled analytics platform, we collect millions ... Our radar-powered intelligence protects billions in assets, monitors adversarial behavior, and ...

IntelliGenesis LLC

Senior AI Engineer

Annapolis, MD · On-site

$175K - $220K/yr

... with adversarial machine learning and AI security * Background in cyber operations or network ... Familiarity with large language models (LLMs) and generative AI systems * Knowledge of secure ...

LeoLabs, Inc.

Senior Software Engineer

Denver, CO · On-site

$126K - $166K/yr

Through our proprietary global radar network and AI-enabled analytics platform, we collect millions ... Our radar-powered intelligence protects billions in assets, monitors adversarial behavior, and ...

LeoLabs, Inc.

Senior Software Engineer

Washington, DC · Remote

$138K - $182K/yr

Through our proprietary global radar network and AI-enabled analytics platform, we collect millions ... Our radar-powered intelligence protects billions in assets, monitors adversarial behavior, and ...

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Generative Adversarial Network information

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$22K

$106.6K

$162.5K

How much do generative adversarial network jobs pay per year?

As of Sep 9, 2026, the average yearly pay for generative adversarial network in the United States is $106,570.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $128,000.00 per year, depending on experience, location, and employer.

What is a generative adversarial network?

A Generative Adversarial Network (GAN) is a type of machine learning framework used for generating new data samples that resemble a given dataset. It consists of two neural networks, called the generator and the discriminator, which compete against each other. The generator creates fake data, while the discriminator tries to distinguish between real and fake data. Through this adversarial process, GANs can learn to produce highly realistic images, audio, and other types of data. They are widely used in applications like image synthesis, style transfer, and data augmentation.

What are the key skills and qualifications needed to thrive as a generative adversarial network engineer?

To thrive as a Generative Adversarial Network (GAN) Engineer, you need a solid background in machine learning, deep learning, and mathematics, typically supported by a degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, and experience with GPU computing and model optimization, are crucial technical tools. Strong problem-solving, creativity, and teamwork skills help you develop novel architectures and overcome research challenges. These abilities are essential to drive innovation and create effective, high-performing GAN models in a rapidly evolving AI landscape.

What are typical challenges faced by professionals working with generative adversarial networks in research or industry?

Professionals working with GANs often encounter challenges such as ensuring stable training, preventing mode collapse, and fine-tuning hyperparameters. Training GANs requires balancing the generator and discriminator networks, which can be technically complex and computationally intensive. In a team setting, collaboration with data scientists, machine learning engineers, and domain experts is common to iterate on model architectures and evaluate generated outputs. Additionally, keeping up with rapidly evolving research and tools is essential for ongoing success in this field.

What is the difference between Generative Adversarial Network vs Data Scientist?

AspectGenerative Adversarial NetworkData Scientist
Required credentialsAdvanced knowledge of machine learning, deep learning, programming (Python, TensorFlow)Statistics, programming, data analysis, often a degree in data science or related fields
Work environmentResearch labs, AI development teams, tech companiesBusiness environments, analytics teams, consulting firms
Industry usageAI research, image/video synthesis, data augmentationData analysis, predictive modeling, business insights

While Generative Adversarial Networks focus on creating realistic data through deep learning models, Data Scientists analyze and interpret data to inform business decisions. Both roles require strong technical skills but serve different purposes within the AI and data ecosystem.

What other helpful pages are available for Generative Adversarial Network?

Other pages related to Generative Adversarial Network:

Infographic showing various Generative Adversarial Network job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 11% Part Time, and 6% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $106,570 per year, or $51.2 per hour.

AI Security & LLM Engineer

Reston, VA • On-site

AnaVation
IT Services • 51 - 200 employees
Learn more about AnaVationexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago

Key responsibilities

  • Design, secure, and optimize generative AI infrastructure, including multi-agent systems and RAG pipelines.

  • Develop and maintain input/output guardrails to defend against prompt injection and adversarial attacks.

  • Conduct red teaming and simulations to identify vulnerabilities and improve system security.

Job description

Be Challenged and Make a Difference 
 
In a world of technology, people make the difference. We believe if we invest in great people, then great things will happen. At AnaVation, we provide unmatched value to our customers and employees through innovative solutions and an engaging culture. 

Description of Task to be Performed: 

The AI Security & LLM Engineer will design, secure, and optimize our next-generation generative AI infrastructure. In this role, you will bridge the gap between advanced AI capabilities and rigorous cybersecurity practices. You will build resilient multi-agent systems while actively defending against emerging vulnerabilities like prompt injection, data exfiltration, and model manipulation.

Core Responsibilities:  

  • System Architecture: Design and deploy robust multi-agent orchestration frameworks and Retrieval-Augmented Generation (RAG) pipelines.
  • Adversarial Defense: Develop, implement, and maintain advanced input/output guardrails to neutralize prompt injection and adversarial attacks.
  • Red Teaming: Conduct continuous LLM red teaming and simulations to identify system vulnerabilities and structural weaknesses.
  • Performance Optimization: Manage token usage, reduce latency, and engineer efficient API rate limit management strategies.
  • Secure Development: Write clean, secure, and production-grade code to integrate frontier models into enterprise applications.

Primary Languages & Technical Stack

  • Rust or Python (at least one required)
Required Qualifications:
  • Clearance: Active TS/SCI Clearance with CI Polygraph 
  • Education & Years of Experience: Bachelor’s degree and 8 years of experience related to specific functional area.  
  • Certifications: Active certifications for both IAT Level II (e.g. CompTIA Security+) and Cyber Security Service Provider (CSSP) Infrastructure Support (e.g. CompTIA Cloud+) by program onboarding date. 
  • The following individual certifications cover both certification requirements for this program: CompTIA Cybersecurity Analyst, CySA+; EC-Council Certified Network Defender (CND); GlAC Global Industrial Cyber Security Professional, GICSP; (ISC)2 System Security Certified Practitioner (SCCP). 
  • Hands-on experience and knowledge with the following: 
    • AI Architecture: Proven experience with multi-agent orchestration tools and production-grade RAG pipelines.
    • AI Security: Deep understanding of OWASP Top 10 for LLMs, prompt injection defense, and guardrail frameworks.
    • Infrastructure Management: Experience handling token optimization, context window constraints, and API throttling.
Preferred Qualifications:
  • Frontier Model Expertise: Hands-on experience deploying commercial frontier models (e.g., ChatGPT, Grok, Claude).
  • AI Developer Tools: Experience utilizing advanced AI-assisted development workflows such as Claude Code or Codex.
  • Security Testing: Background in traditional penetration testing, vulnerability assessment, or cryptographic concepts.
Benefits 
  •         Generous cost sharing for medical insurance for the employee and dependents 
  •         100% company paid dental insurance for employees and dependents 
  •         100% company paid long-term and short-term disability insurance 
  •         100% company paid vision insurance for employees and dependents 
  •         401k plan with generous match and 100% immediate vesting 
  •         Competitive Pay 
  •         Generous paid leave and holiday package 
  •         Tuition and training reimbursement 
  •         Life and AD&D Insurance
About AnaVation 
AnaVation is the leader in solving the most complex technical challenges for collection and processing in the U.S. Federal Intelligence Community. We are a US owned company headquartered in Chantilly, Virginia. We deliver groundbreaking research with advanced software and systems engineering that provides an information advantage to contribute to the mission and operational success of our customers. We offer complex challenges, a top-notch work environment, and a world-class, collaborative team.  
 
If you want to grow your career and make a difference while doing it, AnaVation is the perfect fit for you! 
 
AnaVation is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.