Senior AI Security Engineer

About the role Success in this role will require hands‑on expertise implementing and optimizing AI solutions, a working knowledge of cybersecurity principles and best practices, experience working with data and APIs, and an ability to articulate impact and risk by tracking and reporting key cybersecurity metrics. NRG is looking for self‑driven, high‑caliber individuals who can grasp complex business and technical issues and harness information and relationships to deliver solutions. In return, NRG will provide the support, guidance, and opportunities to help our ideal candidate be successful. Responsibilities Improve internal cybersecurity use cases by implementing AI and conventional process automation Support cybersecurity team members in adopting and leveraging AI, both through personal coaching and hands‑on implementation assistance Assist in defining, documenting, and implementing AI security standards, controls, and best practices Conduct security reviews for AI systems and help internal product teams align AI implementations with enterprise security requirements Develop and maintain dashboards to report key cybersecurity metrics and risk indicators Automate processes for data collection, analysis, and visualization Required Experience Hands‑on experience with AI systems, including building or working with AI agents, LLM‑based applications, and automation workflows Experience working with APIs (REST, Graph‑based, etc.) including integration, automation, and security considerations Experience working with structured and unstructured data (data pipelines, transformation, or analysis) Experience creating reports, dashboards, or visualizations (e.g., Power BI, Tableau, or similar tools) Foundational understanding of cybersecurity principles, including application security, identity, and data protection Familiarity with common AI and cybersecurity frameworks and standards (e.g., NIST CSF, OWASP) Understanding of modern software development and system architecture concepts Experience evaluating the security of generative AI systems Experience with cloud platforms (Azure, AWS, GCP) and their security models Familiarity with data security concepts such as data classification, encryption, and access controls Other Required Skills Build and maintain effective and collaborative working relationships High level of self‑awareness and social skills Take initiative and set high personal performance standards Ability to see the big picture and ensure actions and solutions solve the real problem Ability to understand and articulate tradeoffs between security and business outcomes Ability to communicate complex technical concepts clearly to less‑technical stakeholders Curiosity and adaptability in a rapidly evolving technology landscape Strong analytical and problem‑solving skills Ability to prioritize and focus on high‑impact work Minimum 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 Working Conditions Open office environment. This role is eligible for in‑office work at our Lehi, UT, Princeton, NJ, or Houston, TX locations, or fully remote for qualified candidates in other locations. NRG Energy is committed to a drug and alcohol‑free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post‑accident and reasonable suspicion drug and alcohol testing. EEO AA M/F/Protected Veteran Status/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills. EEO is the Law Poster (The poster can be found at #J-18808-Ljbffr