AI Cybersecurity Engineer

Invenergy

Quick summary

Work type: On-site
Location: Chicago, IL
Salary: $137,000–$160,000 / yr
Posted: 3 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $179k

This role $148k

$118k most similar roles pay here $236k

This role pays less than 70% of similar roles. Most pay $142,400–$216,262 — the shaded band above. At the midpoint, this role pays about $148k versus about $179k 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 16 open roles on FindRole.

Listed pay typically runs $86,500–$113,000 across 16 roles with salary data.

Most-posted roles

View all roles at Invenergy

At a glance

TL;DR · AI Cybersecurity Engineer

Role Posting Log in to save

The AI Cybersecurity Engineer is a senior individual contributor role within the cybersecurity team, focusing on designing and operationalizing AI-driven security solutions to detect threats and defend against AI-enabled attacks across cloud, endpoint, identity, and network environments. This hands-on position involves implementing high-fidelity threat detection systems, securing AI models, and translating enterprise policies into technical controls while collaborating with various engineering teams. The ideal candidate has over seven years of experience in cybersecurity and applied AI/ML techniques, proficiency with SIEM platforms and detection tools, and the ability to work independently on complex security projects. Familiarity with secure AI development practices and scripting languages like Python is preferred, especially for those working in regulated environments where robust security measures are critical.

Skills

AI ML SIEM Python PowerShell NIST CSF MITRE ATT&CK MITRE ATLAS OWASP AI/LLM Top 10 Cloud Security Identity Security Endpoint Security Network Security Data Security MLOps CI/CD

What you'll do

Design and implement AI/ML-driven threat detection and response capabilities across various security domains.
Detect and defend against AI-enabled attacks by engineering high-fidelity detections in SIEM platforms.
Define and enforce security controls for AI systems, including model access and training data protection.
Partner with data science teams to ensure secure practices throughout the AI lifecycle.
Research emerging AI threats and develop preventive and detective technical controls.
Lead proof-of-concept efforts for applying AI to detection engineering and security automation.

What we're looking for

7+ years of cybersecurity engineering experience.
Expertise in applying AI/ML techniques to security use cases.
Comprehensive knowledge of cloud, identity, endpoint, network, and data security.
Proficiency with SIEM platforms and detection engineering tools.
Ability to independently deliver production-quality security solutions.
Eligibility to work in the U.S. without sponsorship.

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