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Adversarial Ai Jobs (NOW HIRING)

Vanguard Group

Senior AI Scientist

Dallas, TX · On-site

You will design and run adversarial evaluations against production AI agents, develop quantitative frameworks to measure evaluation quality, and translate findings into actionable insights for ...

Vangard, Inc.

Senior AI Scientist

Philadelphia, PA · On-site

You will design and run adversarial evaluations against production AI agents, develop quantitative frameworks to measure evaluation quality, and translate findings into actionable insights for ...

Aegis AI

AI Engineer - NYC

New York, NY · On-site

Now, we're striking out on our own to tackle an even bigger challenge: stopping the new wave of adversarial AI attacks already hitting organizations today. We're still in stealth, but here's what we ...

Vangard, Inc.

Senior AI Scientist

Dallas, TX · On-site

You will design and run adversarial evaluations against production AI agents, develop quantitative frameworks to measure evaluation quality, and translate findings into actionable insights for ...

Vanguard Group

Senior AI Scientist

Dallas, TX · On-site

You will design and run adversarial evaluations against production AI agents, develop quantitative frameworks to measure evaluation quality, and translate findings into actionable insights for ...

Vangard, Inc.

Senior AI Scientist

Malvern, PA · On-site

You will design and run adversarial evaluations against production AI agents, develop quantitative frameworks to measure evaluation quality, and translate findings into actionable insights for ...

Vangard, Inc.

Senior AI Scientist

Philadelphia, PA · On-site

You will design and run adversarial evaluations against production AI agents, develop quantitative frameworks to measure evaluation quality, and translate findings into actionable insights for ...

VTG

AI System Engineer (SETA)

Mclean, VA · On-site

$170K - $250K/yr

The ideal candidate possesses deep expertise in one or more advanced AI domains, including frontier AI models, emerging model architectures, AI research, model evaluation, adversarial AI, AI safety ...

Vanguard

Senior AI Scientist

Dallas, TX

You will design and run adversarial evaluations against production AI agents, develop quantitative frameworks to measure evaluation quality, and translate findings into actionable insights for ...

VTG

AI System Engineer (SETA)

Mclean, VA

$170K - $250K/yr

The ideal candidate possesses deep expertise in one or more advanced AI domains, including frontier AI models, emerging model architectures, AI research, model evaluation, adversarial AI, AI safety ...

NorthEastern

Principal Research Scientist

Boston, MA · On-site

$113K - $165K/yr

Francesco Restuccia's research team (website: in Boston, Massachusetts, and work on cutting-edge topics in resilient AI, including adversarial AI and out-of-distribution detection. The successful ...

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Adversarial Ai information

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How much do adversarial ai jobs pay per year?

As of Aug 9, 2026, the average yearly pay for adversarial ai in the United States is $95,162.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,000.00 and $116,500.00 per year, depending on experience, location, and employer.

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 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.
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Adversarial Ai jobs near you

Senior AI Scientist

Vanguard Group

Dallas, TX • On-site

Full-time

Posted 23 days ago

Vanguard rating

8.7

Company rating: 8.7 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

15th of 150 rated financial services

Job description

About the Role
This role sits at the intersection of AI safety research, LLM evaluation, and applied data science. You will design and run adversarial evaluations against production AI agents, develop quantitative frameworks to measure evaluation quality, and translate findings into actionable insights for application teams and business stakeholders. You will also mentor junior data scientists and contribute to the growth of our AI safety research practice.
Responsibilities
  • Design and execute adversarial evaluations of generative AI and agentic systems, probing for safety failures, policy violations, and unexpected behaviors under realistic conditions
  • Apply rigorous experimental design and statistical methodology to AI safety research questions, including evaluation of model robustness and the reliability of automated evaluation systems
  • Develop and validate quantitative frameworks for assessing LLM outputs and measuring evaluation quality at scale
  • Build and maintain data pipelines to process large-scale evaluation outputs, aggregate metrics, and surface trends for research and stakeholder consumption
  • Engage directly with internal stakeholders including application teams, security analysts, and business leaders to explain findings and translate complex analytical results into clear, actionable recommendations
  • Mentor and develop junior data scientists and analysts on the team
  • Stay current with emerging literature in adversarial ML, LLM safety, and AI evaluation; contribute to the team's evolving research agenda
  • Participate in special projects and perform other duties as assigned

Qualifications
  • Minimum 5 years of experience in data science, applied ML research, or AI evaluation roles
  • Hands-on experience with large language models and agentic AI systems, with working knowledge of LLM behavior, failure modes, and safety evaluation techniques
  • Familiarity with adversarial AI concepts including jailbreaks, prompt injection, and model robustness, whether through direct research or applied work
  • Strong programming skills in Python, including experience with data pipelines, large-scale experimentation, and ML libraries such as PyTorch, Hugging Face, or Scikit-learn
  • Solid foundation in statistical reasoning and experimental design: hypothesis formulation, significance testing, and the ability to identify confounds and methodological flaws in existing analyses
  • Experience in financial services, AI safety, trust and safety, or a regulated industry is a strong plus
  • Clear, confident communication skills with the ability to explain technical findings to both research peers and non-technical stakeholders
  • Bachelor's degree in Computer Science, Statistics, Applied Mathematics, or a related quantitative field; Master's degree or equivalent research experience preferred

Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.
About Vanguard
At Vanguard, we don't just have a mission-we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

What Vanguard employees say

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