Information Technology Security Analyst--KAUDC

Location:
Louisville, KY, Providence, RI or Allentown, PA (Hybrid Role)

• Looking for experience with agents generative AI
• Experience in security tooling like Zenity would be nice to have

• 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.

• 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.

• 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.

• 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, Hidden Layer).
• 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.