AI Security Engineer

Preamble

Pittsburgh, Pennsylvania

JOB DETAILS
SKILLS
Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Computer Science, Computer Security, Conferences, Cryptography, Data Management, Data Modeling, HIPAA (Health Insurance Portability and Accountability Act), Information/Data Security (InfoSec), Injections, Internet Security, Modeling Languages, Python Programming/Scripting Language, Regulations, Regulatory Compliance, Research Laboratory, Risk, Robotics, Secure Coding, Startup, U.S. National Institute of Standards and Technology (NIST)
LOCATION
Pittsburgh, Pennsylvania
POSTED
10 days ago

We are seeking an experienced AI Security Engineer<\/b> to lead the development of next -generation cybersecurity solutions for advanced AI systems. This individual will be responsible for researching, designing, and implementing cutting -edge security controls to protect AI models, data pipelines, and infrastructure from adversarial attacks, privacy vulnerabilities, and regulatory risks. The ideal candidate has a strong background in AI and understanding of cybersecurity principles, has been published in leading academic conferences (NeurIPS, ICLR, Black Hat, DEFCON, etc.), and has experience working at a frontier AI lab.<\/span>
<\/p>


<\/div><\/span>

Requirements<\/h3>
  • Experience:<\/b> 5+ years in AI/ML<\/span> with a strong focus on cybersecurity.<\/span>
    <\/p><\/li>

  • Education:<\/b> Bachelor’s or Master’s in Computer Science, Cybersecurity, AI/ML, or a related field. PhD preferred.<\/span>
    <\/p><\/li>

  • Technical Expertise:<\/b><\/span>
    <\/p>

    • Strong understanding of AI security challenges, including adversarial ML, LLM backdoor, (in)direct prompt injections, model poisoning, and data leakage.<\/span>
      <\/p><\/li>

    • Proficiency in cybersecurity frameworks (NIST, MITRE ATLAS, OWASP AI Top 10) and security tools.<\/span>
      <\/p><\/li>

    • Hands -on experience with AI frameworks (TensorFlow, PyTorch, OpenAI API, Hugging Face) and securing AI pipelines.<\/span>
      <\/p><\/li>

    • Expertise in cryptography, secure data handling, and privacy -preserving AI techniques (federated learning, differential privacy).<\/span>
      <\/p><\/li>

    • Proficiency in Python and security -related programming (e.g., secure coding, AI model evaluation).<\/span>
      <\/p><\/li>

    • Familiarity with AI agents, autonomous agents, large language models (LLMs), and multi -modal AI systems.<\/span>
      <\/p><\/li><\/ul><\/li>

    • Preferred:<\/b> Experience in compliance, regulatory, or risk frameworks for AI (e.g., OWASP, MITRE, GDPR, HIPAA, GLBA, NIST AI RMF). An interest in robotics would be preferred as well.<\/span>
      <\/p><\/li>

    • Publication & Research:<\/b> Proven track record of research contributions in top AI/ML and cybersecurity conferences.<\/span>
      <\/p><\/li>

    • Industry Experience:<\/b> Prior work at a leading AI research lab, security -focused AI startup, or a major tech company’s AI division.<\/span>
      <\/p><\/li><\/ul>


      <\/div><\/span>

      Benefits<\/h3>
      • Competitive salary and equity options.<\/span>
        <\/p><\/li>

      • 100% paid medical insurance coverage. 
        <\/p><\/li>

      • Research and publication opportunities.<\/p><\/li>

      • Opportunity to work on cutting -edge AI security challenges that expand beyond software systems. <\/span>
        <\/p><\/li>

      • Flexible work environment with remote and in -office options.<\/span>
        <\/p><\/li>

      • Access to industry -leading AI security research and resources.<\/span>
        <\/p><\/li>

      • A dynamic, mission -driven team shaping the future of AI security.<\/span>
        <\/span><\/li><\/ul>

        <\/div><\/span>

About the Company

P

Preamble