Senior AI-Driven AppSec Engineer (Remote)

Cardinal Health, Inc.; Richmond (VA); Remote; USD 125,000 - 179,000; Full time

Benefits offered by this job

Medical, dental and vision coverage

Paid time off plan

Health savings account (HSA)

401k savings plan

Access to wages before pay day with my

Flexible spending accounts (FSAs)

Short- and long-term disability

Work-Life resources

Paid parental leave

Healthy lifestyle programs

Job summary

Cardinal Health, Inc. is seeking an Application Security Engineer focused on AI and agentic security to design, prototype, evaluate, and operationalize AI capabilities within Application Security. You will balance innovation with governance to deliver scalable, secure AI-enabled security workflows.

The role involves hands-on Python development, integration with CI/CD pipelines, and collaboration across security, software, and governance teams to produce measurable security outcomes.

Qualifications

• Bachelor's degree or equivalent practical experience.
• Strong Python development experience.
• Experience with secure software development practices.
• Hands-on AI/LLM development and agentic systems.
• Experience with cloud services and DevSecOps patterns.

Responsibilities

• Design, build, and test AI-enabled capabilities and agentic workflows.
• Develop Python services, automation, and evaluation harnesses.
• Evaluate AI-enabled security products for vulnerability discovery and remediation.
• Create auditable AI-driven workflows with human oversight.

Skills

Python development

Generative AI

LLM integration

Agentic workflows

Security engineering

Education

Bachelor's degree in computer science, software engineering, cybersecurity, information systems, or related field

Equivalent practical experience

Tools

Git-based development

CI/CD

Containers

Kubernetes

Cloud-native development

Job description

Cardinal Health, Inc. is seeking an Application Security Engineer focused on AI and agentic security to design, prototype, evaluate, and operationalize AI capabilities within Application Security. You will balance innovation with governance to deliver scalable, secure AI-enabled security workflows.

The role involves hands-on Python development, integration with CI/CD pipelines, and collaboration across security, software, and governance teams to produce measurable security outcomes.