AI Security Architect

Insight Global; Saint Paul (MN); On-site; USD 140,000 - 180,000; Full time

Job summary

Insight Global is seeking an experienced AI Security Architect to own the enterprise AI security strategy, governance, and risk mitigation. The role works with AI, innovation, and engineering teams to secure AI adoption and define usage guidelines, controls, and reference architectures across cloud, IAM, network, DevSecOps, and data security.

Responsibilities include participating in AI governance groups, assessing AI initiatives for security and privacy impact, and ensuring secure data usage on

Qualifications

• Bachelor's degree in a technical field required.
• 5+ years of cybersecurity experience.
• 2+ years focused on AI Governance or Data Governance.
• Working knowledge of security frameworks (NIST, CIS, ISO 27001).
• Strong communication and collaboration skills.
• Ability to develop and maintain AI Security Strategy and Roadmap.
• Professional certifications such as CISSP/CISM/SABSA preferred.

Responsibilities

• Drive AI security strategy and enablement across the organization.
• Establish guidelines for AI usage and governance frameworks.
• Support and participate in AI governance bodies and risk tasks.
• Design and maintain secure reference architectures for AI systems.
• Ensure AI systems align with enterprise security principles (cloud, IAM, network, DevSecOps, data security).
• Protect data usage on enterprise platforms (Snowflake, Databricks) and prevent data loss via external LLMs.
• Partner with monitoring and security tooling teams to improve visibility into AI usage and risk.

Job description

Job Description

Our client requires a dedicated AI Security Architect to address the unique and rapidly expanding security risks introduced by artificial intelligence technologies. AI introduces distinct risk domains that are not fully covered by traditional security, cloud, data, or product architecture roles. As AI adoption accelerates and becomes a permanent operational capability, the demands on existing teams continue to grow beyond current capacity and skill sets.

This role provides focused ownership and accountability for AI security architecture, governance, and risk mitigation across the enterprise, enabling secure innovation while protecting the organization’s data, systems, and reputation.

Position Responsibilities

AI Security Strategy & Enablement

• Drive secure adoption of AI technologies and data science best practices (e.g., machine learning models, Claude and other LLMs, model training practices, data quality requirements, data literacy, etc.) within the Security organization.
• Partner with AI, innovation, and engineering teams to enable AI usage aligned with security expectations.
• Establish guidelines for AI usage within the organization.

Governance, Risk & Compliance

• Support and actively participate in the GRC AI Workgroup and AI Taskforce.
• Create and maintain governance frameworks, policies, and controls to mitigate AI system risks.
• Support demand reviews by assessing AI initiatives for security, privacy, and risk impact.
• Provide AI security requirements and guidelines to AI innovation teams.

Architecture & Design

• Design and maintain secure reference architectures for AI systems, including models, platforms, and integrations.
• Ensure AI systems align with established enterprise security principles across:
  • Cloud
  • Identity and access management
  • Network security
  • DevSecOps
  • Data security

Data Protection & AI Risk Mitigation

• Support ongoing efforts to secure AI model data usage enterprise platforms (i.e.Snowflake and Databricks).
• Drive controls to prevent data loss through public and external LLMs.
• Partner with monitoring and security tooling teams to enhance visibility into AI usage and risk.

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 [e-mail] 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

• Bachelor's degree in technical area and 5+ years of relevant cybersecurity experience,
• 2+ years of experience focused on AI Governance or Data Governance.
• Working knowledge of security frameworks (e.g., NIST, CIS, ISO 27001), compliance regulations, and security best practices.
• Strong problem-solving skills and attention to detail
• Strong communication, collaboration, and interpersonal skills, with the ability to effectively communicate complex technical concepts to diverse audiences, including technical and non-technical stakeholders, partners, and leadership.
• Ability to develop and maintain AI Security Strategy and Roadmap
• Associates will be responsible for supporting key Security Solutions and Services off hours based on the team on call schedule.
• Professional certifications from accredited organization such as ISC2, SANS, ISACA (i.e. CISSP, CISM or SABSA)
• 5+ years Cybersecurity Engineering or Architecture Experience
• Master's degreein Cybersecurity, Information Security, or related field.