Senior AI Security Engineer - Remote-Eligible

Nrg Bluewater Wind; Lehi (UT); Hybrid; USD 130,000 - 180,000; Full time

Job summary

NRG Energy is seeking a proactive cybersecurity AI engineer to advance AI security, data reporting, and automation across the organization. You will work with AI agents, cloud platforms, and security frameworks to deliver measurable risk insights and secure AI deployments.

The role requires hands-on experience with AI systems, APIs, data pipelines, and dashboarding tools, with a focus on enterprise security alignment and scalable automation.

Qualifications

• Bachelor's Degree in Cybersecurity or Computer Science or equivalent work experience.
• 2+ years of experience in software engineering, data engineering, or a related technical field.
• Hands-on experience with AI systems, including building or working with AI agents and automation workflows.
• Experience with APIs (REST, Graph-based) including integration, automation, and security considerations.
• Foundational understanding of cybersecurity principles and standards.

Responsibilities

• Improve internal cybersecurity use cases by implementing AI and automation.
• Support cybersecurity teams in adopting AI through coaching and hands-on implementation.
• Define and implement AI security standards, controls, and best practices.
• Conduct security reviews for AI systems and align AI with enterprise security requirements.
• Develop dashboards to report key cybersecurity metrics and risk indicators.
• Automate data collection, analysis, and visualization processes.

Skills

AI systems

APIs

Data handling

Dashboards

Security concepts

Cloud platforms

Communication

Strategic thinking

Education

Bachelor's Degree in Cybersecurity or Computer Science

Tools

Power BI

Tableau

Azure

AWS

GCP

Job description

NRG Energy is seeking a proactive cybersecurity AI engineer to advance AI security, data reporting, and automation across the organization. You will work with AI agents, cloud platforms, and security frameworks to deliver measurable risk insights and secure AI deployments.

The role requires hands-on experience with AI systems, APIs, data pipelines, and dashboarding tools, with a focus on enterprise security alignment and scalable automation.