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Job Description

Robotics Technologies is hiring an AI Cybersecurity Engineer to design and deliver AI and LLM-based cybersecurity solutions for client environments in Tarrytown, NY (onsite). This role blends architecture work, rapid prototyping, and hands-on integration with security tooling, with an emphasis on governance, privacy, and regulated-industry expectations where applicable.

What you’ll do

  • Partner with client security stakeholders to define AI use cases across cybersecurity areas such as threat detection, alert triage, vulnerability management, security operations automation, and policy or compliance analysis.
  • Lead whiteboarding and design sessions, transforming initial problem statements into clear architectures and delivery plans.
  • Build prototypes and production solutions quickly, leveraging AI coding assistants such as Claude Code, GitHub Copilot, or similar tools and using LLM or agent frameworks.
  • Integrate AI solutions with client security tools and relevant data sources, including SIEM, SOAR, EDR, IAM, and cloud security posture tools.
  • Ensure solutions align with enterprise security, privacy, and governance requirements, including GxP or other regulated-environment expectations where they apply.
  • Document designs, runbooks, and findings, and present progress and recommendations to client leadership.
  • Serve as Agilisium’s onsite technical point of contact, identifying follow-on opportunities and reporting them back to the account team.

What you bring

  • 5+ years of experience in cybersecurity engineering, security operations, or security architecture.
  • Hands-on experience building with LLMs, AI agents, or ML in a security-focused context.
  • Practical experience using AI coding tools, with Claude Code preferred, plus strong scripting and development skills in Python and PowerShell or Bash.
  • Working knowledge of security tooling and frameworks including SIEM/SOAR (for example, Splunk and Sentinel), EDR, IAM, NIST CSF, and MITRE ATT&CK.
  • Cloud security experience with AWS and/or Azure.
  • Strong whiteboarding, communication, and client-facing skills, with comfort working directly with senior security stakeholders.

Technologies

  • LLMs, AI agents, ML, Claude Code, GitHub Copilot, LLM/agent frameworks
  • Python, PowerShell, Bash
  • SIEM, SOAR (Splunk, Sentinel), EDR, IAM
  • NIST CSF, MITRE ATT&CK
  • AWS, Azure
  • GxP

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