Principal Cybersecurity Architect AI

GuideWell
Any Location, FL
Job Description
Role Overview

The Principal Cybersecurity Architect – AI & Agentic Systems is responsible for driving enterprise-wide technology security strategy and providing technical expertise to business areas and project teams, with an emphasis on the implementation of innovative, leading-edge security technology solutions.

What You Will Do

Leading project management through the steps of the venture design process, successfully delivering projects on time and on budget, and ensuring all Stage-Gate preparations are complete.

Why It Might Be a Fit

The role requires a strong understanding of AI-specific attack techniques and mitigations, as well as experience with AI security tooling such as AI and MCP gateways, AI security posture management, data security posture management, model and agent scanning, guardrail engines, and AI red-team platforms.

Requirements

  • 8+ years related work experience as an Architect working on progressively complex IT and cybersecurity projects
  • Related Bachelor’s degree or additional related equivalent work experience IT related field
  • CISSP - Certified Information Systems Security Professional
  • Expert-level knowledge of Information Security procedures and controls
  • Expert proficiency in creating architectural designs for progressively complex environments
  • Demonstrated ability to translate security principles into enforceable technical controls
  • Working knowledge of modern AI architecture
  • Demonstrated understanding of AI-specific attack techniques and mitigations
  • Expert-level knowledge of identity and access management as applied to non-human and machine identities
  • Expert-level knowledge of the HIPAA Privacy, Security, and Breach Notification Rules
  • Ability to articulate why a system prompt or model instruction is not an access control
  • Working knowledge of the NIST AI Risk Management Framework, NIST Cybersecurity Framework, ISO/IEC 42001, MITRE ATLAS, and the OWASP GenAI, agentic, and MCP security projects
  • Extensive knowledge of data security and data governance practices
  • Expert-level knowledge of application and API security
  • Experience securing APIs at enterprise scale
  • Working proficiency in Python and familiarity with common data science and AI libraries
  • Experience with privacy-enhancing technologies
  • Experience preparing AI systems for external assurance
  • Experience using Agile methodology
  • Experience operating inside a formal enterprise architecture review or governance board
  • 2 or more years cloud security experience

Benefits

  • Medical, dental, vision, life and global travel health insurance
  • Income protection benefits: life insurance, short- and long-term disability programs
  • Leave programs to support personal circumstances
  • Retirement Savings Plan including employer match
  • Paid time off, volunteer time off, 10 holidays and 2 well-being days
  • Additional voluntary benefits available
  • Comprehensive wellness program
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