Cyber AI Security & Forensic Engineer - IT & OT

<\/p>

Job Summary<\/b>
<\/p>

We are seeking experienced Cyber AI Security & Forensic Engineers<\/b> to help identify, assess, and mitigate emerging cybersecurity risks associated with Artificial Intelligence, Large Language Models (LLMs), Generative AI, and autonomous\/agentic AI systems<\/b>.
<\/p>

There are two openings for this position:
<\/p>\n

\n
• IT Cyber AI Security & Forensic Engineer:<\/b> Focused on enterprise applications, cloud environments, LLM\/GenAI applications, APIs, AI agents, and application security.
  <\/li>\n
• OT Cyber AI Security & Forensic Engineer:<\/b> Focused on applying AI security and cybersecurity principles within Operational Technology (OT), Industrial Control Systems (ICS), SCADA, and industrial environments<\/b>.
  <\/li>\n <\/ul>

  The ideal candidates will have a strong cybersecurity foundation combined with hands\-on experience assessing AI\/LLM applications, identifying vulnerabilities and bypass techniques, recommending security controls, and applying security frameworks such as OWASP<\/b>.
  <\/p>

  Key Responsibilities<\/b>
  <\/p>\n

  \n
  • Perform security testing of AI applications, LLMs, Generative AI solutions, and AI\-enabled platforms<\/b> to identify vulnerabilities, weaknesses, misuse cases, and potential bypass techniques.
    <\/li>\n
  • Conduct AI\/LLM security assessments, including testing for prompt injection, jailbreaks, data leakage, insecure outputs, model manipulation, and unauthorized access<\/b>.
    <\/li>\n
  • Evaluate AI applications and integrations for security weaknesses across APIs, data sources, tools, plugins, and external services.
    <\/li>\n
  • Assess agentic AI architectures<\/b> and autonomous software agents to understand how agents interact with external tools, APIs, data, and enterprise systems.
    <\/li>\n
  • Evaluate agent permissions, tool access, authentication, authorization, and least\-privilege controls.
    <\/li>\n
  • Identify risks associated with excessive agency, insecure tool use, indirect prompt injection, and unauthorized actions.
    <\/li>\n
  • Recommend secure AI and data usage practices<\/b>, including data protection, access controls, secure prompts, guardrails, and responsible AI practices.
    <\/li>\n
  • Apply OWASP Top 10, OWASP API Security Top 10, OWASP LLM Top 10<\/b>, and other applicable security standards to identify and communicate security risks.
    <\/li>\n
  • Perform threat modeling and security assessments for AI\-enabled applications and services.
    <\/li>\n
  • Work with application, cloud, data, infrastructure, and cybersecurity teams to remediate identified vulnerabilities.
    <\/li>\n
  • Support vulnerability management, incident investigations, digital forensics, and root\-cause analysis where required.
    <\/li>\n
  • Review logs, telemetry, application behavior, and security events to identify suspicious or malicious AI activity.
    <\/li>\n
  • Develop security recommendations, assessment reports, remediation plans, and technical documentation.
    <\/li>\n
  • Stay current with emerging AI attack techniques, LLM vulnerabilities, agentic AI risks, and AI security frameworks.
    <\/li>\n <\/ul>

    IT Position - Additional Responsibilities<\/b>
    <\/p>\n

    \n
    • Assess security of enterprise LLM\/GenAI applications, APIs, cloud services, RAG solutions, vector databases, and AI integrations<\/b>.
      <\/li>\n
    • Test AI applications for prompt injection, jailbreaks, sensitive information disclosure, insecure output handling, and data poisoning.
      <\/li>\n
    • Review AI integrations with enterprise applications, SaaS platforms, APIs, and external tools.
      <\/li>\n
    • Evaluate cloud security controls across AWS, Azure, or GCP<\/b> environments.
      <\/li>\n
    • Support application security, API security, secure SDLC, SAST\/DAST, and DevSecOps initiatives.
      <\/li>\n
    • Analyze AI application logs and telemetry for security anomalies and potential abuse.
      <\/li>\n <\/ul>

      OT Position - Additional Responsibilities<\/b>
      <\/p>\n

      \n
      • Apply AI and cybersecurity security practices to Operational Technology environments<\/b>, including ICS, SCADA, PLC, DCS, and industrial control systems.
        <\/li>\n
      • Assess security risks associated with AI\-enabled OT applications and autonomous systems.
        <\/li>\n
      • Understand OT network architecture, segmentation, remote access, industrial protocols, and OT security controls.
        <\/li>\n
      • Support OT incident response, threat hunting, forensic investigations, and security assessments.
        <\/li>\n
      • Evaluate the potential impact of AI\-driven attacks or compromised AI systems on industrial environments.
        <\/li>\n
      • Work closely with OT engineering, controls, infrastructure, and cybersecurity teams to identify and mitigate risks.
        <\/li>\n <\/ul>

        Required Qualifications<\/b>
        <\/p>\n

        \n
        • Bachelor's degree in Cybersecurity, Computer Science, Information Technology, Engineering, or a related field, or equivalent experience.
          <\/li>\n
        • Strong cybersecurity engineering, application security, penetration testing, or security assessment experience.
          <\/li>\n
        • Hands\-on experience with AI\/ML security, LLM security, Generative AI security, or AI application testing<\/b>.
          <\/li>\n
        • Understanding of common LLM and AI vulnerabilities, attack techniques, and security controls.
          <\/li>\n
        • Experience with OWASP Top 10<\/b> and preferably OWASP LLM Top 10 \/ OWASP Agentic AI security concepts<\/b>.
          <\/li>\n
        • Experience with threat modeling, vulnerability assessment, security testing, and risk analysis.
          <\/li>\n
        • Understanding of authentication, authorization, API security, data protection, and least\-privilege principles.
          <\/li>\n
        • Experience analyzing security findings and providing practical remediation recommendations.
          <\/li>\n
        • Strong analytical, troubleshooting, documentation, and communication skills.
          <\/li>\n <\/ul>

           
          <\/p>

          <\/span>
          <\/p>\n

          \n
          \n <\/div><\/span>
          \n <\/body>\n<\/html>