AI Cybersecurity Engineer
InvenergyChicago, IL
Full Time
Posted September 1, 2026
$137k - $160k
Renewable Energy Development
Visa Sponsored
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Application opens on company website
Listing evidence and provenance
- Source
- Workday View original listing
- Freshness
- Open in the current public read path; this is not an employer guarantee.Last observed October 5, 2026
- Classification
- Modern power-system classification not yet published for this listing.Legacy source industry field: Renewable Energy Development
- Pay provenance
- Employer-provided pay
Job Description
The AI Cybersecurity Engineer is a principal subject matter expert responsible for designing, securing, and operationalizing AI-enabled cybersecurity capabilities across the enterprise.
Key Responsibilities
- Design, implement, and maintain AI/ML-driven threat detection and response capabilities across cloud, endpoint, identity, and network environments.
- Detect and defend against AI-enabled and AI-targeted attacks, including prompt injection, model poisoning, data leakage, adversarial ML, and automated social engineering.
- Engineer high-fidelity detections across SIEM and security platforms and continuously tune for precision and efficacy.
- Define and implement security controls for AI systems, including model access, training data protection, inference security, and logging.
- Partner with data science and engineering teams to ensure secure AI lifecycle practices.
- Assess and mitigate risks associated with third-party and vendor AI platforms.
- Translate enterprise security policy into enforceable technical controls for AI workloads.
- Map AI security capabilities to frameworks such as NIST CSF, MITRE ATT&CK, MITRE ATLAS, and OWASP AI/LLM Top 10.
- Produce architecture diagrams, security patterns, and implementation guidance suitable for audit and executive review.
- Support incident response involving AI-driven threats or AI system compromise.
- Research emerging AI threat techniques and translate findings into preventive and detective controls.
- Lead proof-of-concept efforts for applying AI to detection engineering and security automation.
- Communicate AI security risks and mitigations to technical teams, risk leaders, and executives.
- Serve as a technical mentor and subject matter expert without formal people management duties.
Requirements
- Bachelors Degree in Information Technology, Computer Engineering, or related field.
- 7+ years of experience in cybersecurity engineering, detection engineering, or security operations.
- Demonstrated experience in 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 operate independently and deliver production quality security capabilities.
- Eligible to work in the United States without the need for employer visa sponsorship now or in the future.
- Experience securing large language models (LLMs) or AI platforms in production.
- Familiarity with secure AI development or MLOps security practices.
- Scripting or automation experience (Python, PowerShell).
- Experience in regulated or highly audited environments.
Ready to Apply?
Apply directly on Invenergy's site
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