AI Security Analyst (Allentown)

IT Security Analyst II AI & Emerging Technology Security (Contract)

We are seeking a Junior to Mid-Level IT Security Analyst with hands-on exposure to AI, Generative AI, and Agentic AI security . This role supports a Product Security organization focused on implementing security guardrails for AI-enabled applications. You will work closely with Data, AI, and Product teams to secure machine learning pipelines, large language models, and agent-based systems in a cloud-native enterprise environment.

Key Responsibilities

Embed security controls into AI/ML models, LLM-based applications, and agentic workflows across the SDLC Conduct security reviews of Generative AI, traditional ML models, and supporting data pipelines Identify and mitigate AI-specific threats such as prompt injection, data poisoning, model abuse, and insecure agents Support and apply AI security standards aligned with NIST, ISO, and emerging AI governance frameworks Partner with legal, compliance, and privacy teams on AI risk management and regulatory requirements Assist in evaluating and operating AI security and observability tools for model monitoring and data protection Contribute to internal guidance and training on secure AI development practices

Required Qualifications

Bachelors degree in Computer Science, Information Security, or related discipline 2+ years of experience in cybersecurity , with exposure to AI/ML environments Experience with cloud-native security concepts and threat modeling Understanding of AI/ML concepts including model training, inference, data labeling, and adversarial attacks Familiarity with core security domains such as authentication, encryption, network security, and IAM Strong communication and collaboration skills within agile or SAFe-based teams

Preferred / Nice-to-Have Skills

Experience with AI security platforms such as Zenity or HiddenLayer Familiarity with Microsoft security and AI governance tooling , including: Microsoft Defender for Cloud Microsoft Defender for Cloud Apps Azure AI Content Safety Microsoft Purview (data governance / DLP) Exposure to Power Platform, Power BI, or low-code environments , especially implementing DLP or data governance controls Experience with AI model governance or AI security programs Security or cloud certifications (e.g., CCSK, CEH , or AI-focused credentials) Scripting or automation experience for security testing and validation