AI Security Analyst

AI Security Analyst PPL Corporation is committed to creating long-term, sustainable value for our customers, shareowners, and the communities we serve. Our high-performing regulated utilities provide an outstanding experience for our customers, consistently ranking among the best utilities in the nation. 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. 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. 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. Experience specifically in AI security or ML model governance is a strong plus. Proficiency in scripting and automation for security testing is a plus. 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 identity, genetic information, disability status, or any other protected characteristic.