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Insight Global AI Security Architect in Morris, New Jersey

Job Description

The AI Security Architect is responsible for designing, implementing, and governing security frameworks and requirements to enable the secure use of AI and related infrastructure. This role ensures AI technologies are developed and deployed securely, ethically, and in compliance with regulatory and organizational requirements. This role will be part of cybersecurity organization with a matrix line to the AI team.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

  • 10+ years in cybersecurity architecture or engineering roles.

  • Strong knowledge of modern AI/ML architectures, pipelines, and tooling.

  • Experience with LLM security, prompt safety testing, or generative AI governance.

  • Understanding of AI based attacks and threats.

  • Strong knowledge of data protection and controls required to protect data.

  • Knowledge of creating and communicating cybersecurity risks both in technical and non-technical manner.

  • Experience working in AI/ML or data engineering environments.

  • Proven track record designing enterprise security frameworks or architecture patterns.

  • Excellent communication with technical and non-technical stakeholders.

  • Strong analytical, problem-solving, and decision-making abilities.

  • Leadership skills to guide engineering teams and influence organizational policy.

  • Knowledge of regulatory frameworks specific to healthcare or finance (HIPAA, PCI, etc.)

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