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Adversarial Ai Jobs in Reston, VA (NOW HIRING)

HiddenLayer

Senior Accountant

Washington, DC · On-site +1

$83K - $105K/yr

We were founded by AI professionals and security specialists with first-hand experience of how insidious adversarial AI attacks can be to detect and defend against. Determined to prove that these ...

10a Labs

AI Red Teamer, Cyber

Washington, DC · Remote

$100K - $120K/yr

Our adversarial red teaming, model evaluations, and intelligence collection enable engineering, safety, and security teams to stay ahead of evolving threats and deploy AI systems safely. About the ...

10a Labs

AI Red Teamer, Cyber

Washington, DC · Remote

$100K - $120K/yr

Our adversarial red teaming, model evaluations, and intelligence collection enable engineering, safety, and security teams to stay ahead of evolving threats and deploy AI systems safely. About the ...

10a Labs

AI Red Teamer, Cyber

Washington, DC · On-site

$100K - $120K/yr

Our adversarial red teaming, model evaluations, and intelligence collection enable engineering, safety, and security teams to stay ahead of evolving threats and deploy AI systems safely. About the ...

10a Labs

AI Red Teamer, Cyber

Washington, DC · Remote

$100K - $120K/yr

We are seeking an AI Red Teamer with deep cybersecurity expertise to help evaluate the security and ... Develop adversarial testing methodologies to evaluate system security, robustness, and resilience

Wilmerhale

Senior AI Defense Engineer

Washington, DC · On-site

$129K - $177K/yr

The role will translate emerging AI threats into practical defenses, guardrails, policy enforcement layers, monitoring and detections, adversarial test automation, and hardened environments that hold ...

WilmerHale

Senior AI Defense Engineer

Washington, DC · On-site

$129K - $177K/yr

Adversarial Testing & Red Teaming - Identify and utilize adversarial test suites for AI applications (prompt libraries, fuzzing harnesses, automated attack campaigns). Simulate realistic attacker ...

WilmerHale

Senior AI Defense Engineer

Washington, DC · On-site

$129K - $177K/yr

Adversarial Testing & Red Teaming - Identify and utilize adversarial test suites for AI applications (prompt libraries, fuzzing harnesses, automated attack campaigns). Simulate realistic attacker ...

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All JobsAdversarial Ai JobsAdversarial Ai Jobs in Reston, VA

Adversarial Ai information

See Reston, VA salary details

$70.2K

$99K

$134.2K

How much do adversarial ai jobs pay per year?

As of Sep 5, 2026, the average yearly pay for adversarial ai in Reston, VA is $99,002.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,000.00 and $121,200.00 per year, depending on experience, location, and employer.

What is adversarial AI?

Adversarial AI refers to techniques and methodologies used to manipulate or deceive artificial intelligence systems, typically by generating inputs that cause the AI to make mistakes. This field also encompasses the study and development of defenses against such attacks to ensure the robustness and security of AI models. Professionals working in adversarial AI research vulnerabilities in machine learning algorithms and work to make AI systems more resilient to malicious manipulation. Adversarial AI is crucial in sectors where AI security and reliability are paramount, such as autonomous vehicles, cybersecurity, and finance.

What are the key skills and qualifications needed to thrive as an adversarial AI specialist?

To thrive as an Adversarial AI Specialist, a strong background in machine learning, deep learning, and computer science—often supported by an advanced degree—is essential. Familiarity with frameworks like TensorFlow and PyTorch, experience in adversarial attack and defense techniques, and knowledge of cybersecurity protocols are typically required. Critical thinking, creativity, and clear communication are valuable soft skills for identifying vulnerabilities and collaborating with cross-functional teams. These capabilities are vital to proactively securing AI systems against evolving threats and ensuring trust in AI-driven applications.

What are some common challenges faced by professionals working in adversarial AI roles?

Professionals in Adversarial AI often grapple with rapidly evolving threats, as new attack vectors and adversarial techniques are constantly emerging. Staying ahead requires continuous learning and experimentation, as well as close collaboration with security, engineering, and research teams to develop robust defenses. Additionally, balancing security with model performance and usability can be complex, requiring thoughtful risk assessments and trade-off decisions. Effective communication of risks and solutions to stakeholders is also a key part of the role.

What is the difference between Adversarial Ai vs Data Scientist?

AspectAdversarial AiData Scientist
Required CredentialsKnowledge of AI, machine learning, cybersecurityDegree in data science, statistics, or related field
Work EnvironmentResearch labs, cybersecurity firms, AI development teamsBusiness, tech companies, research institutions
Industry UsageAI robustness testing, security, model evaluationData analysis, predictive modeling, business insights

Adversarial Ai focuses on creating and defending against malicious inputs to AI models, often within cybersecurity contexts. Data Scientists analyze data to extract insights and build predictive models. While both roles require knowledge of AI and data handling, Adversarial Ai emphasizes security and robustness testing, whereas Data Scientists focus on data analysis and decision-making support.

What are popular job titles related to Adversarial Ai jobs in Reston, VA?

For Adversarial Ai jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Adversarial Ai jobs in Reston, VA look for?

The top searched job categories for Adversarial Ai jobs in Reston, VA are:

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Cities near Reston, VA with the most Adversarial Ai job openings:

Adversarial Ai jobs near you

Staff II/ Staff III AI/ML Engineer

VT Group (VTG)

Chantilly, VA • On-site

Full-time

Re-posted 7 days ago

Job description

Job Summary:
VTG is seeking a highly experienced and innovative Staff II/Staff III AI/ML Engineer to lead the design, development, evaluation, and deployment of advanced artificial intelligence solutions in support of mission-critical and enterprise initiatives. The ideal candidate will advise senior leadership, engage with stakeholders, and have hands-on experience building AI systems while understanding AI governance and evaluation methodologies.
Responsibilities:
• Architect, Design, And Implement Advanced AI/ML Solutions, Including
• Autonomous and semi-autonomous workflows
• AI orchestration frameworks
• Predictive analytics and traditional ML models
• Lead The End-to-end AI Lifecycle, Including
• Data ingestion and preparation
• Model development and fine-tuning
• AI testing and evaluation
• Model deployment and monitoring
• Operational sustainment and optimization
• Develop And Mature AI Evaluation And Testing Methodologies, Including
• Traditional ML evaluation metrics
• Red teaming and adversarial testing
• Bias and fairness assessments
• Performance and reliability testing
• Human-in-the-loop evaluation strategies
• Establish And Implement AI Governance Frameworks, Including
• Responsible AI practices
• Security and compliance controls
• Model transparency and explainability
• Risk management
• Data governance standards
• Collaborate across engineering, cybersecurity, cloud, data, and product teams to deliver integrated AI solutions
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Mathematics, or related technical field
• 5+ years of experience in artificial intelligence, machine learning, software engineering, data engineering, or related technical disciplines
• Statistical modeling and AI evaluation methodologies
• Experience with AI testing, validation, benchmarking, and evaluation frameworks for both traditional ML and generative AI systems
• Experience implementing practical MLOps pipelines and AI operationalization frameworks
• Strong programming experience with: Python, Jupyter Notebooks or equivalent notebook environments
• Experience with big data and distributed processing technologies such as: Apache Spark, Databricks (preferred)
• Experience with one or more major cloud platforms: Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP)
• Familiarity with: Containerization and orchestration technologies CI/CD pipelines for AI deployments
• Strong communication and presentation skills with demonstrated customer-facing experience
• Ability to translate complex technical concepts into actionable business and mission solutions
• Active Secret security clearance required, or ability to obtain and maintain a Secret clearance
Preferred:
• Master’s degree or PhD
• Experience supporting Federal Government, DoD, Intelligence Community, or highly regulated environments
• Experience implementing secure AI architectures in classified or sensitive environments
• Expertise in modern AI/ML architectures, including agentic AI systems, large language models (LLMs), autonomous workflows, AI evaluation frameworks, and production-grade machine learning operations (MLOps)
• Design scalable MLOps and AIOps pipelines to support secure and repeatable deployment of AI capabilities in enterprise and cloud environments
• Demonstrated experience architecting and deploying enterprise-scale AI/ML solutions in production environments
• Hands-on experience building and operationalizing: Agentic AI systems, LLM-powered applications; AI orchestration frameworks; Autonomous decision-support systems
• Familiarity with AI security, adversarial AI, and zero trust principles
• Experience with GPU infrastructure, model optimization, and scalable inference architectures
• Familiarity with: Vector databases; AI orchestration frameworks (LangChain, Semantic Kernel, CrewAI, AutoGen, etc.)
• Serve as a senior technical advisor to customers, executives, and program leadership on AI strategy, architecture, modernization, and emerging capabilities
• Lead technical discussions, architecture reviews, demonstrations, and customer briefings with confidence and authority
• Stay current with emerging AI research, industry trends, open-source technologies, and commercial AI platforms; continuously assess applicability to organizational and customer needs
• Published research, conference presentations, patents, or contributions to the AI community preferred
• Active participation in AI research communities, industry working groups, or open-source AI initiatives
• Mentor engineers, data scientists, and software developers on AI best practices, architectures, and implementation strategies
Company:
VTG delivers force modernization and digital transformation solutions that expand America’s competitive advantage in the modern battlespace. Founded in 1866, the company is headquartered in Arlington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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