Job description

Invenergy is North America’s largest privately held developer, owner, and operator of power infrastructure. With 25 years of trusted execution, we deliver reliable, affordable energy through a diverse portfolio that includes natural gas, solar, land-based wind, energy storage, transmission, and domestic manufacturing. Headquartered in Chicago, we develop, own, and operate large scale projects that power communities and support the energy future. This position will be open for application for at least 3 calendar days from the posting date. This position will remain open for application based on business need, which may be before or after the 3-day posting window. Job Description Position Overview The AI Cybersecurity Engineer is a principal subject matter expert responsible for designing, securing, and operationalizing AI-enabled cybersecurity capabilities across the enterprise. This role blends deep cybersecurity expertise with applied artificial intelligence and machine learning knowledge to detect threats, secure AI systems, and defend against AI-enabled attacks. The position is hands-on and execution-focused owning design, implementation, tuning, and continuous improvement of AI-driven security controls while partnering closely with Security Operations, Cloud, Identity, Data, and Engineering teams. This role has no people-management responsibilities but serves as a technical authority and trusted advisor in AI security. 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. Required Qualifications 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. Preferred Qualifications 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. Base Pay $137,000.00 - $160,000.00 USD Annual Bonus: 25% - 40% #LI-Hybrid The base pay range reflects the minimum and maximum target salary for the position. Invenergy considers a number of factors when determining base pay offers such as the scope and responsibilities of the position and the candidate s experience, education and skills. In addition to base pay, the total annual compensation package may also include eligibility to participate in our bonus program(s) which are designed to reward individual and company performance. Your recruiter can share more about bonus eligibility for this position during the hiring process. Invenergy offers a variety of other benefits including medical, dental and vision insurance, 401k, paid time off, etc. Invenergy LLC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, or disability.

Requirements

Must-haves

This position will be open for application for at least 3 calendar days from the posting date. This position will remain open for application based on business need, which may be before or after the 3-day posting window.
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.
Required Qualifications 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.

Nice-to-haves

Preferred Qualifications Experience securing large language models (LLMs) or AI platforms in production.
Bonus: 25% - 40%

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningmlllmpython

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Paid Time Off