AI-Driven Product Security Architect

mxtechnologiesinc; Lehi (UT); On-site; USD 180,000 - 240,000; Full time

Job summary

MX is seeking a Product Security Architect to champion secure development, application security, and AI security across engineering and product teams. The role focuses on integrating secure patterns, automating security within CI/CD, and ensuring secure AI services and data handling across cloud and on-prem environments.

The candidate will establish security controls, threat modeling, and governance for AI features, while mentoring engineers and partnering with Platform/DevOps to scale security

Qualifications

• Bachelor's degree or equivalent practical experience in CS or InfoSec.
• 12+ years of experience in Application Security, Architecture, DevOps, or related fields.
• Strong automation tooling and CI/CD pipeline experience.
• Knowledge of secure coding and AI-specific security threats.
• Familiarity with AI models, data security, and software dependencies.

Responsibilities

• Architect security systems for MX's platform including AI features in cloud and on-prem environments.
• Mature security architecture review programs with criteria for AI systems and traditional apps.
• Automate security tooling within CI/CD and use AI to triage findings and guide fixes.
• Define secure software development lifecycle checkpoints and governance for AI coding assistants and AI-generated code.
• Collaborate with Platform/DevOps teams to implement security architecture across Kubernetes, AWS/GCP, and AI services.

Skills

Application Security

Application Architecture

DevOps

AI Security

CI/CD

Security Automation

Containers

Security Patterns

Education

Bachelor's degree in Computer Science or Information Security

Master's degree in Computer Science or Information Security

Tools

Terraform

Job description

MX is seeking a Product Security Architect to champion secure development, application security, and AI security across engineering and product teams. The role focuses on integrating secure patterns, automating security within CI/CD, and ensuring secure AI services and data handling across cloud and on-prem environments.

The candidate will establish security controls, threat modeling, and governance for AI features, while mentoring engineers and partnering with Platform/DevOps to scale security