AI Cybersecurity Engineer

Invenergy

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Chicago, IL
Salary
$137,000–$160,000 / yr
Posted
10 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $169k
This role $148k
$103k most similar roles pay here $220k

This role pays less than 67% of similar roles. Most pay $142,400–$195,275 — the shaded band above. At the midpoint, this role pays about $148k versus about $169k for comparable roles.

Based on 240 similar postings.

Employer

About Invenergy

Invenergy is a leading independent power generation and storage company developing, owning, and operating renewable energy projects including wind, solar, natural gas, and energy storage facilities. Industry: Renewable Energy

Invenergy currently has 28 open roles on FindRole.

Listed pay typically runs $105,000–$125,000 across 26 roles with salary data.

Most-posted roles

View all roles at Invenergy

At a glance

TL;DR · AI Cybersecurity Engineer

The AI Cybersecurity Engineer serves as a principal subject matter expert responsible for designing, securing, and operationalizing AI-enabled cybersecurity capabilities across the enterprise. This hands-on role involves building and tuning AI-driven threat detection systems across cloud, endpoint, identity, and network environments while defending against risks like prompt injection, model poisoning, and adversarial machine learning. The successful candidate will implement security controls for training data protection and inference security while mapping capabilities to frameworks such as NIST CSF, MITRE ATT&CK, MITRE ATLAS, and OWASP AI/LLM Top 10. Required skills include expertise in detection engineering, SIEM platforms, telemetry pipelines, and scripting with Python or PowerShell. The role focuses on the technical challenge of securing large language models and ensuring secure lifecycle practices for AI workloads within a complex infrastructure environment.

What you'll do

  • Design and maintain AI/ML-driven threat detection and response capabilities across cloud, endpoint, identity, and network environments.
  • Defend against AI-enabled attacks such as prompt injection, model poisoning, data leakage, and adversarial machine learning.
  • Engineer and tune high-fidelity detections within SIEM and other security platforms for improved precision.
  • Implement security controls for AI systems including training data protection, inference security, and model access.
  • Translate enterprise security policies into enforceable technical controls specifically for AI workloads.
  • Map AI security capabilities to industry frameworks like NIST CSF, MITRE ATT&CK, and OWASP AI/LLM Top 10.
  • Lead proof-of-concept efforts to apply AI to detection engineering and security automation.
  • Research emerging AI threat techniques and develop corresponding preventive and detective controls.

What we're looking for

  • Bachelor's degree in Information Technology, Computer Engineering, or a related field.
  • 7+ years of experience in cybersecurity engineering, detection engineering, or security operations.
  • Demonstrated experience using AI or ML techniques in security use cases.
  • Strong knowledge of cloud, identity, endpoint, network, and data security.
  • Proficiency with SIEM platforms, telemetry pipelines, and detection engineering tools.
  • Ability to work independently and deliver production-quality security capabilities.
  • Experience securing large language models (LLMs) or AI platforms in production environments.
  • Scripting or automation experience using Python or PowerShell.

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