Hybrid AI Cybersecurity Engineer - ML Security

invenergyllc; Chicago (IL); Hybrid; USD 137,000 - 160,000; Full time

Benefits offered by this job

Insurance benefits

401k

Paid time off

Job summary

Invenergy is seeking an AI Cybersecurity Engineer to design, secure, and operationalize AI-enabled security across enterprise environments. The role blends deep cybersecurity expertise with applied AI/ML to detect threats, secure AI systems, and defend against AI-enabled attacks.

The position is hands-on, owning design, tuning, and continuous improvement of AI-driven security controls while partnering with Security Operations, Cloud, Identity, Data, and Engineering teams.

Qualifications

• Bachelors degree in IT, CS, or related field.
• 7+ years in cybersecurity engineering, detection, or security operations.
• Experience using AI/ML techniques in security use cases.
• Proficiency with cloud, identity, endpoint, network, and data security.
• Eligible to work in the United States without visa sponsorship.

Responsibilities

• Design and operate 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.

Skills

AI/ML in security

Cloud security

SIEM & telemetry

Independent contributor

US work eligibility

Education

Bachelor's Degree in Information Technology or related field

Job description

Invenergy is seeking an AI Cybersecurity Engineer to design, secure, and operationalize AI-enabled security across enterprise environments. The role blends deep cybersecurity expertise with applied AI/ML to detect threats, secure AI systems, and defend against AI-enabled attacks.

The position is hands-on, owning design, tuning, and continuous improvement of AI-driven security controls while partnering with Security Operations, Cloud, Identity, Data, and Engineering teams.