AI Application Security Engineer
Confirmed on the employer's own hiring board on Nov 13, 2026. First seen by Alion on Nov 13, 2026. Charles Schwab scores A on the Alion truth index.
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).
As a Senior Application Security Engineer focused on AI security, you will help protect Schwab’s predictive, generative, and agentic AI capabilities throughout the software development lifecycle. You will design scalable security standards, architectures, testing capabilities, monitoring solutions, and guardrails that strengthen AI-enabled applications, models, APIs, and software supply chains.
Working with development, architecture, platform engineering, and security teams, you will assess emerging threats, evaluate complex risks, and translate findings into practical solutions. You will also help build and maintain internal AI security libraries, including prompt-input validation, output protection, redaction, PII safeguards, and automated testing. By integrating these capabilities into developer workflows, common frameworks, and CI/CD pipelines, you will enable teams to remediate vulnerabilities, make informed security decisions, and deliver secure AI capabilities at scale.
What you have
Required Qualifications
- 5+ years of experience in application security, security engineering, software engineering, or a related cybersecurity discipline
- Experience implementing and governing secure software development lifecycle practices
- Experience with application security, API security, authentication and authorization, threat modeling, vulnerability management, and software supply chain security
- Experience with cloud platforms, CI/CD pipelines, automation, and modern application architecture
- Proficiency in Python, Java, C#, Go, JavaScript, or another programming language
- Exposure to cloud AI/ML frameworks, including AWS Bedrock, Azure OpenAI, or Google Cloud Vertex AI
- Familiarity with GitHub and CI/CD tools
- Working knowledge of HTTP protocols, HTTP proxies, and core networking concepts.
- Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent experience
Preferred Qualifications
- Experience securing generative AI, large language models, agentic AI platforms, or machine learning systems
- Experience using large language models to develop agents, create AI harnesses, or solve business problems
- Knowledge of prompt injection, model abuse, model poisoning, data leakage, excessive agency, and related AI threats
- Familiarity with the OWASP Top 10 for Large Language Model Applications, NIST AI Risk Management Framework, or MITRE ATLAS
- Experience with security testing, observability, and production monitoring
- Demonstrated ability to evaluate complex risks, make sound decisions, and develop scalable security solutions
- Ability to communicate technical risks and collaborate across development, architecture, platform engineering, and security teams
- CISSP, CSSLP, cloud security, AI security, or another relevant industry certification
In addition to the salary range, this role is eligible for bonus or incentive opportunities.