AI Security Engineer - Build Secure AI Pipelines

Charles Schwab; Austin (TX); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

401(k) with company match

Employee stock purchase plan

Paid time off

Sabbatical after 5 years of service

Paid parental leave

Tuition reimbursement

Health, dental, and vision insurance

Job summary

Charles Schwab is seeking an AI Security Engineer to secure design, deployment, and operation of AI systems. The role collaborates with senior developers to build internal AI security libraries, validators for prompts, and output guards, while supporting redaction and PII-protection features.

The engineer will integrate these libraries with CI/CD pipelines and common frameworks to improve adoption, ensuring robust security across Schwab’s AI initiatives and workflows.

Qualifications

• 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.

Responsibilities

• Build and maintain internal AI security libraries.
• Develop validators for prompt inputs and output guards against insecure execution.
• Support redaction and PII-protection features.
• Write unit tests to maintain code quality.
• Integrate libraries with developer workflows, CI/CD pipelines, and common frameworks to improve adoption across teams.

Skills

Java

.NET

Python

Secure coding principles

OWASP basics

GitHub

CI/CD

Cloud AI/ML frameworks

Detail-oriented

Education

Bachelor's degree in Computer Science or Software Engineering

Job description

Charles Schwab is seeking an AI Security Engineer to secure design, deployment, and operation of AI systems. The role collaborates with senior developers to build internal AI security libraries, validators for prompts, and output guards, while supporting redaction and PII-protection features.

The engineer will integrate these libraries with CI/CD pipelines and common frameworks to improve adoption, ensuring robust security across Schwab’s AI initiatives and workflows.