Senior AI Security Engineer
As an NRG employee, we encourage you to take charge of your career and development journey. We invite you to explore exciting opportunities across our businesses. You’ll find that our dynamic work environment provides variety and challenge. Your growth is key to our ongoing success—take the lead in shaping your career development, goals and future!
At NRG, we’re bringing the power of energy to people and organizations by putting customers at the center of everything we do. We generate electricity and provide energy solutions and natural gas to millions of customers through our diverse portfolio of retail brands. A Fortune 500 company, operating in the United States and Canada, NRG delivers innovative solutions while advocating for competitive energy markets and customer choice, working towards a sustainable energy future. More information regarding NRG is available at www.nrg.com.
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
Intermediate scripting or coding experience (e.g., Python, JavaScript, PowerShell)
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
Excellent customer service 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. EOE 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 http://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf)
Official description on file with Talent.
At NRG, we’re bringing the power of energy to people and organizations by putting customers at the center of everything we do. We generate electricity and provide energy solutions and natural gas to millions of customers through our diverse portfolio of retail brands. A Fortune 500 company, operating in the United States and Canada, NRG delivers innovative solutions while advocating for competitive energy markets and customer choice, working towards a sustainable energy future. More information regarding NRG is available at www.nrg.com.
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
Intermediate scripting or coding experience (e.g., Python, JavaScript, PowerShell)
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
Excellent customer service 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. EOE 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 http://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf)
Official description on file with Talent.