Senior AI-Driven AppSec Engineer (Remote)

Cardinal Health, Inc.; Pierre (SD); 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

FSAs

Disability coverage

Work-Life resources

Paid parental leave

Healthy lifestyle programs

Job summary

Cardinal Health, Inc. is seeking an Application Security Engineer, AI and Agentic Security, to design, prototype, evaluate, and operationalize generative AI capabilities within Application Security.

The role combines hands-on software engineering with security expertise, focusing on AI-enabled development patterns and auditable, governed enterprise capabilities. The candidate will collaborate with cross-functional teams—security, software engineering, cloud, and governance—to move concepts from

Qualifications

• Bachelor's degree in CS, software engineering, cybersecurity, information systems, or related field.
• Proficiency developing solutions in Python.
• Experience with generative AI development and LLM integration.
• Experience with cloud, containers, and CI/CD.
• Familiarity with OWASP and NIST frameworks.
• Experience delivering complex technical work with multiple stakeholders.

Responsibilities

• Design, build, and test prototypes and production-ready capabilities using generative AI, large language models, AI agents, and multi-step agentic workflows.
• Develop Python-based services, automation, integrations, evaluation harnesses, and supporting tools for Application Security use cases.
• Evaluate AI-enabled security products and frameworks for vulnerability discovery, exploitability analysis, secure code guidance, remediation, validation, and developer workflow integration.
• Create controlled workflows in which AI capabilities can analyze code, use approved tools, recommend or generate changes, execute tests, and produce auditable evidence while maintaining human oversight.
• Establish technical guardrails for agent identity, least privilege, data access, tool use, repository access, secrets handling, logging, traceability, change control, and safe failure or termination.

Skills

Python

Generative AI

LLM integration

Agent frameworks

Cloud services

Kubernetes

Education

Bachelor's degree in CS / software engineering / cybersecurity

Tools

Git

CI/CD

Docker

Kubernetes

Job description

Cardinal Health, Inc. is seeking an Application Security Engineer, AI and Agentic Security, to design, prototype, evaluate, and operationalize generative AI capabilities within Application Security.

The role combines hands-on software engineering with security expertise, focusing on AI-enabled development patterns and auditable, governed enterprise capabilities. The candidate will collaborate with cross-functional teams—security, software engineering, cloud, and governance—to move concepts from