AI Security Engineer

Your Opportunity At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).

The Schwab Cybersecurity Services (SCS) organization is a centralized Center of Excellence (COE) within Schwab Technology Services (STS) that provides security services to advance Schwab’s security posture of critical assets. The AI Security Engineering Team is specialized group within SCS responsible for securing the design, deployment, and operation of AI systems across the enterprise. We are looking for the right candidate to join our team as a AI Security Engineer with responsibilities that include:

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. What you have 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

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.