Senior AI-Driven AppSec Engineer (Remote)

Cardinal Health, Inc.; Santa Fe (NM); Remote; USD 125,000 - 179,000; Full time

Benefits offered by this job

Health insurance

Paid time off

401k plan

Flexible work arrangements

Job summary

Cardinal Health, Inc. is seeking an Application Security Engineer, AI and Agentic Security, a senior contributor who will prototype and operationalize AI-enabled security capabilities within our enterprise.

You will design, test, and defend agentic workflows, integrate with CI/CD, and collaborate across security, engineering and governance teams to deliver secure AI-powered development. The role emphasizes hands-on Python development, security engineering, and evaluating AI-enabled security

Qualifications

• Strong Python development experience for production-quality services.
• Experience with generative AI, LLM integration and agentic security concepts.
• Background in Application Security, DevSecOps and secure SDLC.

Responsibilities

• Design and prototype AI-enabled security capabilities within the software development lifecycle.
• Develop Python-based services, automation, and evaluation harnesses for security use cases.
• Assess AI security products for vulnerability discovery, remediation and workflow integration.
• Establish guardrails for identity, access, secrets, logging and control of agent workflows.
• Collaborate across security, engineering, cloud, governance and architecture teams.

Education

Bachelor's degree in Computer Science, Software Engineering, Cybersecurity, Information Systems, or related field

Job description

Cardinal Health, Inc. is seeking an Application Security Engineer, AI and Agentic Security, a senior contributor who will prototype and operationalize AI-enabled security capabilities within our enterprise.

You will design, test, and defend agentic workflows, integrate with CI/CD, and collaborate across security, engineering and governance teams to deliver secure AI-powered development. The role emphasizes hands-on Python development, security engineering, and evaluating AI-enabled security