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Adversarial Ai Jobs (NOW HIRING)

Aegis AI

AI Architect

New York, NY · On-site

$69 - $90.75/hr

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 going after a $5B+ market , ripe for ...

Aegis AI

AI Architect

Manhattan, NY · On-site

$180 - $260/hr

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 going after a $5B+ market , ripe for ...

Ryder System

Senior Director AI Security

Denver, CO · On-site

Monitor emerging AI threats, vulnerabilities, adversarial AI techniques, regulatory developments, and industry best practices, adjusting strategy accordingly Additional Responsibilities * Develop ...

Ryder System

Senior Director AI Security

Denver, CO · On-site

Monitor emerging AI threats, vulnerabilities, adversarial AI techniques, regulatory developments, and industry best practices, adjusting strategy accordingly Additional Responsibilities * Develop ...

Ryder System, Inc.

$150 - $200/hr

Monitor emerging AI threats, vulnerabilities, adversarial AI techniques, regulatory developments, and industry best practices, adjusting strategy accordingly Additional Responsibilities * Develop ...

Ryder System, Inc.

Senior Director AI Security

Jackson, MS · On-site

$150 - $200/hr

Monitor emerging AI threats, vulnerabilities, adversarial AI techniques, regulatory developments, and industry best practices, adjusting strategy accordingly Additional Responsibilities * Develop ...

Ryder System, Inc.

Senior Director AI Security

Juneau, AK · On-site

$150 - $200/hr

Monitor emerging AI threats, vulnerabilities, adversarial AI techniques, regulatory developments, and industry best practices, adjusting strategy accordingly Additional Responsibilities * Develop ...

Ryder System, Inc.

Senior Director AI Security

Concord, NH · On-site

$150 - $200/hr

Monitor emerging AI threats, vulnerabilities, adversarial AI techniques, regulatory developments, and industry best practices, adjusting strategy accordingly Additional Responsibilities * Develop ...

Aegis AI

AI Engineer - NYC

Manhattan, NY · On-site

$150 - $220/hr

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 ...

Ryder

Senior Director AI Security

Monitor emerging AI threats, vulnerabilities, adversarial AI techniques, regulatory developments, and industry best practices, adjusting strategy accordingly Additional Responsibilities * Develop ...

Ryder System, Inc.

Senior Director AI Security

Hagatna, GU · On-site

$150 - $200/hr

Monitor emerging AI threats, vulnerabilities, adversarial AI techniques, regulatory developments, and industry best practices, adjusting strategy accordingly Additional Responsibilities * Develop ...

Ryder System

Senior Director AI Security

Denver, CO · On-site

Monitor emerging AI threats, vulnerabilities, adversarial AI techniques, regulatory developments, and industry best practices, adjusting strategy accordingly Additional Responsibilities * Develop ...

Aegis AI

AI Engineer - SF

San Francisco, CA · 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 ...

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Adversarial Ai information

See salary details

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$129K

How much do adversarial ai jobs pay per year?

As of Sep 5, 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 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.

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Adversarial Ai jobs near you

AI Architect

Aegis AI

New York, NY • On-site

$69 - $90.75/hr

Full-time

Re-posted just now

Job description

We're a team of ex-Google engineers who built some of the largest defensive platforms on the planet - Safe Browsing and reCAPTCHA. 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 going after a $5B+ market, ripe for disruption. Traditional detection methods are too slow to keep up. Adversaries are using AI to craft customized, high-evasion attacks - and old-school rules-based systems don't stand a chance.
Your Mission:Architect a constellation of AI Agents - fast, cheap, and high-precision - that work together to detect and stop emerging threats. Your job is to create the orchestration layer to enable a heterogenous set up agents to collaborate to investigate threats. You'll also be Aegis' resident expert model selection, customization and strategy. You should have deep hands on experience quantizing, pruning, distilling, serving and orchestrating models at scale.
Why This Is Hard (a.k.a. Why It's Fun)
  • The models change daily. Literally. What worked yesterday will be obsolete tomorrow.
  • The adversaries are smart - and getting smarter. We're in a real-time arms race against AI-enabled attackers crafting tailored, evasive payloads.
  • There's no playbook. We're building new detection paradigms as fast as the threats evolve. It's high-stakes, high-impact work - and you'll be in the arena from day one.

If you're the kind of engineer who lives for tough problems and fast feedback loops, this is your kind of challenge.
Why We'll Win
  • The market is massive - $5B+ and growing fast - and incumbents are too slow to adapt.
  • We've done this before. Our team built the core technology behind Safe Browsing (5B+ users) and reCAPTCHA (protecting 5M+ websites) while at Google.
  • This is our third time building a category-defining security business. We know how to scale both the tech and the company.
  • AI and security are in our DNA. We don't bolt it on - we build it in from day one.
  • We only hire top performers. Most of our team were top 1% engineers at Google - if you were the best at your last job, you'll feel right at home here.
  • We move fast. No politics. No hierarchy. Just brilliant people solving hard problems, together.

What We're Looking For:We want engineers who are outgrowing their current roles - people who want to build at the very edge of AI and cybersecurity.
  • You thrive in relentless environments where learning curves are steep and every day is a new challenge.
  • You care about speed, execution, and complete thinking more than resumes or titles.
  • You think in weeks and days, not months and quarters.

Despite 30+ years of combined AI experience on the founding team, we know today's landscape changes too fast to rest on credentials. We prioritize adaptability and speed of learning above all else.
Our culture:
  • Flat, flexible, and fast.
  • You'll own your decisions and your tech stack.
  • You'll have clear KPIs for success - but how you get there is up to you.
  • Development cycles are measured in days, not weeks.

If you're hungry to build AI that fights AI, and want to work with a team that moves at the speed of the real world, come talk to us.
Requirements:
1-3 Years hands on experience customizing LLM models
5+ Years Building AI/ML systems
Bonus:
Experience security/detection systems
Experience working in adversarial environments (T&S, security, fraud)

Apply