Information Technology Security Analyst--KAUDC5724280

Compunnel Inc.; Louisville (KY); Hybrid; USD 80,000 - 100,000; Full time

Job summary

A leading tech solutions provider is looking for a Junior to Mid-Level AI Security Analyst to enhance security measures for AI technologies. The ideal candidate should have a foundation in cybersecurity and experience with AI/ML systems. Responsibilities include collaborating with product teams to integrate security practices, conducting security reviews, and helping develop policies aligned with AI regulations. This role emphasizes maintaining security while fostering innovative AI applications.

Qualifications

• 2+ years of experience in cybersecurity with exposure to AI/ML technologies.
• Familiarity with secure coding practices and threat modeling.
• Knowledge of AI risks and cybersecurity concepts.

Responsibilities

• Collaborate with product teams to embed security into AI/ML models.
• Conduct security reviews for AI systems.
• Support development of AI security policies and controls.

Skills

Understanding of AI/ML concepts

Strong communication skills

Analytical skills

Education

Bachelor’s degree in computer science or related field

Tools

Microsoft AI security tools

Zenity

Job description

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

Job Description

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

Position Summary

• 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.

Job 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.

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.