AI Cybersecurity Engineer

Machine Learning Technologies, LLC; Village of Tarrytown (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a cybersecurity technologist to design and deliver AI-enabled security solutions for enterprise clients in a fast-paced environment.

You will scope AI use cases with client stakeholders, lead design sessions, and rapid prototype production-grade systems using Claude Code, Copilot, and other LLM frameworks. Strong communication and client-facing skills are essential.

Qualifications

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

Responsibilities

• Scope AI use cases in cybersecurity with client security stakeholders (threat detection, alert triage, vulnerability management, automation).
• Lead whiteboarding and design sessions; convert rough statements into architectures and delivery plans.
• Build prototypes and production solutions quickly using AI coding assistants and LLM/agent frameworks.
• Integrate AI solutions with client security tools and data sources (SIEM, SOAR, EDR, IAM, cloud posture tools).
• Ensure AI solutions meet enterprise security, privacy, and governance requirements.

Skills

Cybersecurity Eng

Security Ops

Security Arch

AI/ML in Security

Scripting: Python

Tools

Claude Code

GitHub Copilot

LLM frameworks

Splunk

Microsoft Sentinel

EDR

IAM

Job description

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

Responsibilities

• Work with client security stakeholders to scope AI use cases in cybersecurity: threat detection, alert triage, vulnerability management, security operations automation, and policy/compliance analysis.
• Lead whiteboarding and design sessions; turn rough problem statements into clear architectures and delivery plans.
• Build prototypes and production solutions fast, using AI coding assistants (Claude Code, GitHub Copilot, or similar) and LLM/agent frameworks.
• Integrate AI solutions with the client's security tools and data sources (e.g., SIEM, SOAR, EDR, IAM, cloud security posture tools).
• Make sure AI solutions meet enterprise security, privacy, and governance needs, including GxP/regulated-environment expectations where they apply.
• Write up designs, runbooks, and findings; present progress and recommendations to client leadership.
• Act as Agilisium's onsite technical point of contact; identify follow-on opportunities and report them back to the account team.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.