Senior Agentic AI AppSec Engineer (Remote)

Cardinal Health, Inc.; Jackson (MS); 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

Job summary

Cardinal Health, Inc. is seeking an Application Security Engineer, AI and Agentic Security, to design and operationalize AI-enabled security across the software development lifecycle. You will build production-grade capabilities, integrate AI workflows, and ensure governance with cross-functional teams.

The role emphasizes secure development, hands-on Python, and experience with LLM integration, agentic systems, and cloud-native patterns. Strong collaboration and problem-solving are essential.

Qualifications

• Bachelor's degree in computer science, cybersecurity, or related field, or equivalent practical experience.
• Substantial experience in software/security engineering, DevSecOps, or related discipline.
• Proficiency developing solutions in Python.
• Understanding of Application Security concepts and secure SDLC practices.
• Experience delivering complex technical work with coordination across teams.
• Hands-on with generative AI, LLM integration, or AI-enabled tooling.

Responsibilities

• Design, prototype, and productionize AI-enabled security capabilities for application security.
• Develop Python-based services, automation, and evaluation harnesses.
• Evaluate AI-enabled security products for vulnerability discovery and secure code guidance.
• Create auditable AI workflows with human oversight and governance.

Skills

Python

AI/ML

Application Security

DevSecOps

Cloud/Kubernetes

Education

Bachelor's degree or equivalent

Tools

Git

Kubernetes

CI/CD

Cloud

Job description

Cardinal Health, Inc. is seeking an Application Security Engineer, AI and Agentic Security, to design and operationalize AI-enabled security across the software development lifecycle. You will build production-grade capabilities, integrate AI workflows, and ensure governance with cross-functional teams.

The role emphasizes secure development, hands-on Python, and experience with LLM integration, agentic systems, and cloud-native patterns. Strong collaboration and problem-solving are essential.