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AI Security Engineer

iMinds Technology Systems, Inc.Texas City, TX🇺🇸United StatesPosted 5 Jul 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

We are looking for an experienced AI Security Engineer with strong expertise in Cybersecurity, Application Security, and AI/ML Security to help secure Generative AI and Large Language Model (LLM) applications.

Required Qualifications

  • 5+ years of Cybersecurity or Application Security experience.
  • 2+ years of AI/ML or Generative AI Security experience.
  • Hands-on experience securing AI/ML and LLM-based applications.
  • Strong experience with Python.
  • Experience with AWS, Azure, or Google Cloud Platform.
  • Knowledge of API Security and Secure SDLC.
  • Experience with OpenAI, Azure OpenAI, LangChain, LangGraph, or similar AI frameworks.
  • Strong understanding of AI security threats including Prompt Injection, Model Poisoning, Adversarial Attacks, Data Leakage, and Model Security.
  • Experience with Threat Modeling, Vulnerability Assessments, Security Testing, IAM, Encryption, and DevSecOps.

Preferred Skills

  • RAG (Retrieval-Augmented Generation)
  • Vector Databases
  • Microsoft Copilot Security
  • AI Governance
  • CISSP, CCSP, or CEH Certifications

Work Authorization

Independent Work Authorization Preferred: GC-EAD, -EAD, TN, L2-EAD.

Important Notes

  • Candidates must be willing to work on our W2 payroll.
  • No C2C or third-party candidates.
  • Rate: DOE.

If interested, please apply with your updated resume and contact details.

Skills

AWS
Encryption
Azure
Generative AI
Google Cloud
LLM
Python

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