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# AI Security Engineer

- **Company:** Schwab Cybersecurity Services
- **Location:** Phoenix, AZ, United States
- **Salary:** $130,000.0 - $160,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), .NET Framework, Artificial Intelligence, Amazon Web Services, Unit Testing, Microsoft Azure, Software Quality, Github, Python (Programming Language), Open Web Application Security, Tensorflow, Secure Coding, Software Engineering, Information Technology
- **Published:** September 4, 2026
- **Apply:** https://www.themuse.com/jobs/charlesschwab/ai-security-engineer

## About the Role

* Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience)
 * Basic programming skills in Java, .NET or Python
 * Understanding of secure coding principles and OWASP basics
 * Familiarity with GitHub and CI/CD tools
 * Exposure to or strong interest in cloud AI/ML frameworks (e.g., AWS Bedrock, Azure OpenAI, GCP Vertex AI)
 * Detail-oriented mindset with the ability to write clean, testable code

Demonstrate These Behaviors:

 * Attention to Detail: Writes code carefully, validates against requirements, and tests thoroughly before handoff.
 * Learning Agility: Demonstrates eagerness to learn from senior engineers and quickly applies new knowledge.
 * Communication: Clearly explains challenges, asks for help when needed, and shares progress in standups or documentation.
 * Ownership: Takes responsibility for small features or tasks and delivers them reliably.
 * Security Mindset: Practices a security-first approach in coding decisions and anticipates potential risks in implementation.

## Description

This engineer will work closely with senior developers to build and maintain the internal AI security libraries. Duties include developing validators for prompt inputs, creating output guards against insecure execution, supporting redaction and PII-protection features, and writing unit tests to maintain code quality. The role will also assist in integrating the libraries with developer workflows, CI/CD pipelines, and common frameworks to improve adoption across teams.


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