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Company Summary Statement

As one of the largest investor-owned utility companies in the United States, PPL Corporation (NYSE: PPL), is committed to creating long-term, sustainable value for our 3.5 million customers, our shareowners and the communities we serve. Our high-performing regulated utilities — PPL Electric Utilities, Louisville Gas and Electric, Kentucky Utilities and Rhode Island Energy — provide an outstanding experience for our customers, consistently ranking among the best utilities in the nation. PPL’s companies are also addressing challenges head-on by investing in new infrastructure and technology that is creating a smarter, more reliable and resilient energy grid. We are committed to doing our part to advance a cleaner energy future and drive innovation that enables us to achieve net-zero carbon emissions by 2050 while maintaining energy reliability and affordability for the customers and communities we serve. PPL is a positive force in the cities and towns where we do business, providing support for programs and organizations that empower the success of future generations by helping to build and maintain strong, diverse communities today.

Overview

NOTE: This is a hybrid position requiring on-site presence three days per week at one of our local offices in: Allentown, PA (Lehigh Valley); Louisville, KY or Providence, RI.** **LI-Hy #INDPPL

PPL is seeking a passionate and technically skilled Junior to Mid-Level AI Security Analyst to join our Product Security team. This role is ideal for someone with a strong foundation in cybersecurity and a growing expertise in AI/ML systems. You will implement and maintain security guardrails for AI solutions including Traditional ML, Generative AI, and Agentic AI. You’ll work within our established AI Security Controls framework, which tailors’ controls by AI type and emphasizes observability, traceability, risk management, and specialized safeguards for Generative and Agentic AI. You will collaborate with the Data & AI and Product Teams to ensure that AI-driven applications adhere to enterprise security standards and policies. You will help shape and secure the future of AI technologies across our enterprise, ensuring responsible and resilient adoption of AI in alignment with our security modernization goals.

Responsibilities

+ Collaborate with product teams to embed security into AI/ML models, pipelines, and applications throughout the SDLC.

+ Conduct security reviews for AI systems, including LLMs, generative models, and data pipelines.

+ Support the development of AI security policies, standards, and controls aligned with NIST, ISO, and emerging AI regulations.

+ Define and implement AI-specific risk controls, including model validation, bias mitigation, and explainability.

+ Collaborate with legal, compliance, and data privacy teams to ensure adherence to evolving AI regulations.

+ Assist in evaluating and implementing AI security tools for observability, model scanning, and data protection.

+ Help build awareness and training materials for secure AI development practices across agile teams.

+ All other duties and projects as assigned.

Qualifications

**Required Experience** :

+ Bachelor’s degree in Computer Science, Information Security, or a related field.

+ 2+ years of experience in cybersecurity, with exposure to AI/ML technologies.

+ Familiarity with secure coding practices, threat modeling, and cloud-native environments.

+ Understanding of AI/ML concepts such as model training, inference, data labeling, and adversarial attacks.

+ Knowledge of common AI risks (such as prompt injection, data poisoning, model misuse, etc.) and cybersecurity concepts (authentication, encryption, network security) is required.

+ Strong communication and collaboration skills in agile environments (SAFe experience a plus).

+ Strong analytical skills to assess risks and vulnerabilities in complex systems.

**Preferred Qualifications** :

+ Professional certifications such as CCSK, CEH, or AI-specific credentials are highly desirable.

+ Experience with Microsoft AI security tools (MS Defender for Cloud, MS Defender for Cloud Apps, Azure AI Content Safety, MS Purview).

+ Experience with AI security tools (e.g., Zenity, HiddenLayer).

+ Exposure to Power Platform, Power BI, or other low-code tools, especially any experience implementing data governance or DLP (Data Loss Prevention) on those, is a plus.

+ Experience specifically in AI security or ML model governance is a strong plus.

+ Proficiency in scripting and automation for security testing is a plus.

**Required Experience** :

+ Bachelor’s degree in Computer Science, Information Security, or a related field.

+ 2+ years of experience in cybersecurity, with exposure to AI/ML technologies.

+ Familiarity with secure coding practices, threat modeling, and cloud-native environments.

+ Understanding of AI/ML concepts such as model training, inference, data labeling, and adversarial attacks.

+ Knowledge of common AI risks (such as prompt injection, data poisoning, model misuse, etc.) and cybersecurity concepts (authentication, encryption, network security) is required.

+ Strong communication and collaboration skills in agile environments (SAFe experience a plus).

+ Strong analytical skills to assess risks and vulnerabilities in complex systems.

**Preferred Qualifications** :

+ Professional certifications such as CCSK, CEH, or AI-specific credentials are highly desirable.

+ Experience with Microsoft AI security tools (MS Defender for Cloud, MS Defender for Cloud Apps, Azure AI Content Safety, MS Purview).

+ Experience with AI security tools (e.g., Zenity, HiddenLayer).

+ Exposure to Power Platform, Power BI, or other low-code tools, especially any experience implementing data governance or DLP (Data Loss Prevention) on those, is a plus.

+ Experience specifically in AI security or ML model governance is a strong plus.

+ Proficiency in scripting and automation for security testing is a plus.

+ Collaborate with product teams to embed security into AI/ML models, pipelines, and applications throughout the SDLC.

+ Conduct security reviews for AI systems, including LLMs, generative models, and data pipelines.

+ Support the development of AI security policies, standards, and controls aligned with NIST, ISO, and emerging AI regulations.

+ Define and implement AI-specific risk controls, including model validation, bias mitigation, and explainability.

+ Collaborate with legal, compliance, and data privacy teams to ensure adherence to evolving AI regulations.

+ Assist in evaluating and implementing AI security tools for observability, model scanning, and data protection.

+ Help build awareness and training materials for secure AI development practices across agile teams.

+ All other duties and projects as assigned.

Remote Work

The company reserves the right to determine if this position will be assigned to work on-site, remotely, or a combination of both. Assigned work location may change. In the case of remote work, physical presence in the office/on-site may be required to engage in face-to-face interaction and coordination of work among direct reports and co-workers.

Equal Employment Opportunity

Our company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, national origin, protected veteran status, sexual orientation, gender identify, genetic information, disability status, or any other protected characteristic.