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Adversarial Ai Jobs (NOW HIRING)

AI Solutions Architect- Federal

Washington, DC · Remote

$71.25 - $94/hr

HiddenLayer protects the world's most valuable technologies from adversarial AI attacks. We were founded by AI professionals and security specialists with first-hand experience of how insidious ...

AI Solutions Architect- Federal

$64.50 - $85/hr

HiddenLayer protects the world's most valuable technologies from adversarial AI attacks. We were founded by AI professionals and security specialists with first-hand experience of how insidious ...

AI Solutions Architect- Federal

$64.50 - $85/hr

HiddenLayer protects the world's most valuable technologies from adversarial AI attacks. We were founded by AI professionals and security specialists with first-hand experience of how insidious ...

Research on state-of-the-art algorithms in signal processing, natural language processing, graph analytics, or adversarial AI. * Applying innovative methods to challenging, real-world problems.

Senior Director AI Security

Helena, MT · 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 ...

Showing results 21-40

Adversarial Ai information

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$67.5K

$95.2K

$129K

How much do adversarial ai jobs pay per year?

As of Sep 6, 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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What cities are hiring for Adversarial Ai jobs?

Cities with the most Adversarial Ai job openings:

What states have the most Adversarial Ai jobs?

States with the most job openings for Adversarial Ai jobs include:

AI Solutions Architect- Federal

HiddenLayer

Washington, DC • Remote

$71.25 - $94/hr

Full-time

Re-posted 26 days ago


Job description

AI Solutions Architect- Federal

Location- Remote (US), DC Metro Area Preferred

Clearance- Active Top Secret or TS eligible strongly preferred

ABOUT THE ROLE:

You will serve as the pre-sales technical lead for federal pursuits spanning the Intelligence Community, DoW/DoD, DHS, and civilian agencies. Partnering with Account Directors, you will help mission owners adopt AI and machine learning with purpose built AI Security Platform, carrying each opportunity from the first discovery conversation through proof of value and technical win. 

You will architect and deploy our platform in both connected SaaS and fully disconnected, airgapped environments. You will write real integrations against our SDKs and APIs. You will create mission-focused demonstrations and proof-of-concept AI applications that show how AI workloads are attacked and how we defend them.

WHO WE ARE:

HiddenLayer protects the world's most valuable technologies from adversarial AI attacks. 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 attacks were preventable, the team developed a unique, patent-pending, productized solution to support organizations in accelerating their adoption of AI securely. 

Our dedication to innovation has been recognized by prestigious awards such as RSA's Innovation Sandbox Winner, CB Insights AI 100, CyberTech 100, and SC's Most Promising Early-Stage Start-up.

WHAT YOU'LL DO:

Lead Technical Engagements

  • Lead discovery workshops to understand customer missions, AI initiatives, architectures, data pipelines, and security and compliance requirements.
  • Translate ambiguous mission needs into scoped proof-of-value engagements with measurable success criteria, timelines, and exit conditions.
  • Qualify technical fit honestly, including what our platform will, and will not do.
  • You derive scope from chaos, turning loosely defined mission problems into concrete evaluation plans with measurable success criteria.

Create the real-world solution

  • Architect and deploy the HiddenLayer platform in SaaS and fully airgapped environments, including packaging container images, Helm charts, and artifacts for transfer into networks with no internet access.
  • Stand up and administer Kubernetes-based deployments using Docker, Helm, and private registries across cloud environments (including AWS government and disconnected regions) and on-premises virtualization platforms such as VMware, Proxmox, and OpenShift.
  • Build mission-focused demonstrations and proof-of-concept AI applications (computer vision, LLM, and agentic workloads) and integrate HiddenLayer SDKs and APIs to protect them, from model scanning in CI/CD pipelines to runtime detection and response.
  • Advise customers on securing models, AI applications, data pipelines, and supporting infrastructure, aligned to frameworks such as MITRE ATLAS, the OWASP Top 10 for LLM Applications, and the NIST AI Risk Management Framework.

Influence others on the solution

  • Deliver live demonstrations and architecture sessions tailored to mission outcomes for audiences ranging from data scientists and ML engineers to security teams and senior executives.
  • Produce clear written deliverables, including evaluation reports, reference architectures, and integration guides.
  • Support onboarding, troubleshooting, and integration through evaluations and initial deployments in partnership with Customer Success.

Showcase learnings and best practices

    • Represent HiddenLayer at industry conferences, government engagements, webinars, and technical events.
    • Convert field learnings into reusable demos, internal enablement, and structured feedback to Product, Research, and Engineering.
    • Maintain deep currency in adversarial machine learning and the evolving AI threat landscape, and raise the technical bar of everyone around you.

WHO YOU ARE:

  • 5+ years in solutions architecture, solutions engineering, applied AI engineering, or a similar customer-facing technical role, including direct support of federal customers across the IC, the DoD/DoW, DHS, or civilian agencies.
  • You build with AI, hands on. You are fluent in Python and comfortable across the modern AI stack, including model formats and inference, LLM APIs, retrieval and agentic patterns, and frameworks such as PyTorch, Hugging Face, and ONNX.
  • You are hands-on with Docker, Kubernetes, and Helm, and you know how to move images and artifacts into restricted or fully disconnected environments.
  • You understand how models move from data to production (MLOps and CI/CD) and where security belongs in that pipeline.
  • You have working security literacy, including adversarial machine learning concepts and common AI attack classes, and you can discuss them credibly without overclaiming.
  • You have operated inside federal missions, not just sold to them, and you can speak to mission outcomes with specificity.
  • You are comfortable on stage and on camera: live demos, whiteboard sessions, conference talks, and executive briefings.
  • You are demonstrably curious. You can point to things you taught yourself recently, whether side projects, home labs, publications, open-source contributions, or entirely new domains you pursued on your own.
  • You can travel as needed to support customer engagements and industry events.

BONUS:

  • You have secured AI/ML systems in production or supported AI programs operating in classified environments.
  • You have experience with model file formats and AI supply chain concerns, including ONNX, SafeTensors, GGUF, and pickle-based serialization.
  • You have red-teamed LLM applications or worked with AI security and evaluation tooling.
  • You hold relevant certifications (Kubernetes, AWS, Azure, CISSP, or Security+) or have delivered under federal compliance regimes.
  • You have public work we can look at, such as GitHub repositories, Hugging Face artifacts, conference talks, or technical writing.

WHY HIDDENLAYER?

We're moving at (what feels like) the speed of light. HiddenLayer is a venture-backed company and recently closed a $50M funding round led by M12, Microsoft's Venture Fund, and Moore Strategic Ventures. 

Attracting and retaining the very best people is our #1 priority. That's why we offer our team best-in-class benefits, including:

  • Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional about getting the team together a couple of times a year. We offer a generous stipend for your home office setup, annual upgrades to ensure you have a comfortable workspace and a monthly stipend for internet/phone expenses. 
  • Flexible Time Off: Enjoy unlimited and flexible time off for all salaried employees, in addition to 15 paid company holidays.
  • Commitment to Learning and Development: We support personal growth and education through a dedicated L&D fund that can be used for training, conferences, certifications and industry events.
  • Diversity, Equity, and Inclusion: We are committed to building a diverse team with individuals from various backgrounds, experiences, abilities, and perspectives, and we are proud to be an equal opportunity employer.

To learn more about HiddenLayer visit HiddenLayer and follow us on LinkedIn or Twitter.

HiddenLayer  is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.