Description
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.
Contact
PPL Corporation
Two N Ninth St
Allentown
Pennsylvania United States
www.pplweb.com
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