Cybersecurity AI Engineer

Insight Global

United States

On-site

USD 100,000 - 150,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Benefits offered by this job

Medical insurance

Vision insurance

401(k) with employer matching

Job summary

A leading IT staffing agency is seeking a Cybersecurity AI Engineer to secure AI/ML infrastructure. The candidate will enhance the security of AI systems, implement detection mechanisms for threats, and collaborate across teams. Benefits include medical, dental, vision insurance, and a 401k with employer matching. This role is full-time, located in the United States, with a salary range of $100,000 to $150,000.

Qualifications

1+ years in a cybersecurity, security engineering, or threat detection role.
Hands-on experience with machine learning systems.
Familiarity with adversarial machine learning concepts.

Responsibilities

Monitor security posture of AI/ML systems.
Implement detection mechanisms for adversarial AI threats.
Collaborate to secure AI environments.

Skills

Cybersecurity

AI/ML systems

Machine learning

Threat detection

SIEM platforms

DevSecOps

Tools

OpenAI

SageMaker

Azure ML

Job description

This range is provided by Insight Global. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$100,000.00/yr - $150,000.00/yr

Direct message the job poster from Insight Global

1+ years in a cybersecurity, security engineering, or threat detection role.
Familiarity with AI ecosystems (Agentic AI + MCP servers)
Hands-on experience with machine learning systems, LLMs (e.g., OpenAI, Anthropic, or open-source models), or AI/ML platforms (e.g., SageMaker, Azure ML, Vertex AI).
Familiarity with adversarial machine learning concepts, model risk, or AI red teaming is preferred.
Experience with SIEM platforms, threat detection tools, or security automation frameworks.
Experience in application security, DevSecOps, or secure software development lifecycle (SDLC) is a plus.
Knowledge of AI-specific threat frameworks (e.g., MITRE ATLAS, OWASP LLM Top 10).
Familiarity and experience with infrastructure deployment and systems administration

Nice to Have Skills & Experience

Familiarity with EDR, firewall, IDS/IPS evasion

Job Description

A client of Insight Global's is looking for a Cybersecurity AI Engineer to play a critical role in securing the organization’s AI/ML infrastructure and applications. This position works at the intersection of cybersecurity, artificial intelligence, and operations, focusing on protecting machine learning models, LLMs, data pipelines, and associated services from evolving threats. The ideal candidate combines expertise in security engineering with a deep understanding of AI technologies, and partners across IT, security, and data science teams to implement resilient, compliant, and secure AI solutions. Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

This candidate will be responsible for:

Monitor, evaluate, and enhance the security posture of AI/ML systems, APIs, and model-serving environments.
Implement detection mechanisms to identify adversarial AI threats such as model abuse, prompt injection, data poisoning, and model theft.
Collaborate with development, operations, and SOC teams to secure AI environments throughout the lifecycle.
Automate threat detection and remediation workflows related to AI misuse.
Evaluate and integrate AI security tools and model governance solutions.
Contribute to the design and implementation of AI-specific threat models and control frameworks.
Stay current on emerging threats to AI systems and participate in blue/red/purple team exercises involving LLMs and AI services.

Role Details