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 an AI Cybersecurity Engineer to partner with client teams in Tarrytown, NY on a 14-month engagement and extensions as needed.

The role focuses on scoping AI use cases in cybersecurity, building prototypes with AI coding assistants, integrating with SIEM/SOAR, EDR, IAM, and cloud security tooling, and delivering secure architectures for enterprise environments.

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 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.

Skills

Cybersecurity experience

LLMs / AI agents

Python

PowerShell

Bash

Security tooling

Cloud security (AWS/Azure)

Communication skills

AI coding tools

Tools

Claude Code

GitHub Copilot

Job description

• Client:

• Home
• About
• Adaptive AI
• Industries
• Consulting
• Jobs Portal
• Contact Us
• Home
• About
• Adaptive AI
• Industries
• Consulting
• Jobs Portal
• Contact Us

Job Description

Job Overview

• Job ID:

J53425

• Job Title:

AI Cybersecurity Engineer

• Location:

Tarrytown, NY

• Duration:

14 Months + Extension

• Domain Exposure:

Education

• Work Authorization:

US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD

• Client:

To Be Discussed Later

• Employment Type:

W-2, 1099, C2C

View All Jobs

Similar Jobs

• Java Backend Engineer - St Louis, MO
• Senior Azure Engineer - Boston, MA
• Netwrix / Stealthbits Security Engineer - Atlanta, GA
• AWS Cloud Engineer - Dallas, TX
• Senior Machine Learning Engineer - San Jose, CA

Required 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 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.

Equal Opportunity Employer

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.

• Home

• About

• Adaptive AI

• Industries

• Consulting

• Contact Us

© 2008-2018, Machine Learning Technologies LLC. All Rights Reserved.