AI Security Engineer — Secure AI Pipelines (Hybrid)

Charles Schwab

Phoenix (AZ)

On-site

USD 120,000 - 170,000

Full time

2 days ago
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Benefits offered by this job

401(k) with company match
Paid time off and sabbatical after 5+?
Parental leave
Tuition Reimbursement
Health, dental, and vision insurance

Job summary

Schwab is seeking an AI Security Engineer in Phoenix to secure the design, deployment, and operation of AI systems across the enterprise. You will work with senior developers to build and maintain internal AI security libraries, develop input validators, and implement output guards for secure execution.

The role includes supporting redaction/PII protection, writing unit tests, and integrating libraries with CI/CD pipelines and common frameworks to enable broader adoption across teams.

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 cloud AI/ML frameworks (AWS Bedrock, Azure OpenAI, GCP Vertex AI).
  • Detail-oriented mindset with ability to write clean, testable code.

Responsibilities

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

Skills

Bachelor's degree requirement
Java
C#/.NET
Python
Secure coding principles
GitHub
CI/CD
Cloud AI/ML frameworks

Education

Bachelor's degree in Computer Science or related field

Tools

GitHub
CI/CD tools

Job description

Schwab is seeking an AI Security Engineer in Phoenix to secure the design, deployment, and operation of AI systems across the enterprise. You will work with senior developers to build and maintain internal AI security libraries, develop input validators, and implement output guards for secure execution.

The role includes supporting redaction/PII protection, writing unit tests, and integrating libraries with CI/CD pipelines and common frameworks to enable broader adoption across teams.

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