Senior AI Agentic AppSec Engineer (Remote)

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

Benefits offered by this job

Medical, dental and vision coverage

Paid time off plan

401k savings plan

HSA

Flexible spending accounts (FSAs)

Long-term disability coverage

Work-Life resources

Paid parental leave

Job summary

Cardinal Health, Inc. is seeking an experienced Application Security Engineer for AI and agentic security to design and operate AI-enabled security capabilities within our enterprise.

The role blends hands-on software development with deep AppSec expertise to enable secure AI-driven development. The engineer will collaborate with security, software engineering, and governance teams to pilot, measure outcomes, and scale secure AI workflows while balancing governance, cost, and reliability across

Qualifications

• Bachelor's degree in CS, software engineering, cybersecurity, information systems, or related field or equivalent practical experience.
• Substantial experience in software engineering, security engineering, Application Security, DevSecOps, or related discipline.
• Proficiency developing solutions in Python.
• Understanding of Application Security concepts and secure SDLC practices.
• Experience with generative AI, LLM integration, agentic systems, or AI-enabled tooling.
• Experience with Java, JavaScript/TypeScript, .NET/C#, or Go.
• Experience with cloud services, containers, Kubernetes, IaC, and enterprise developer platforms.
• Knowledge of OWASP Top 10, NIST frameworks, and AI risk management.

Responsibilities

• Design, prototype, and test AI-enabled security capabilities using generative AI, LLMs, and agentic workflows.
• Develop Python-based services, automation, integrations, evaluation harnesses, and supporting tools for AppSec use cases.
• Evaluate AI-enabled security products and frameworks for vulnerability discovery, remediation, and automation.
• Create controlled workflows where AI analyzes code, uses approved tools, and generates auditable changes with human oversight.
• Establish guardrails for identity, data access, secrets handling, logging, and governance.
• Develop test plans and benchmarks to assess accuracy, security, reliability, and cost.
• Integrate capabilities with source control, CI/CD pipelines, developer tools, and vulnerability management workflows.
• Define reference architectures, runbooks, and operational support models for approved capabilities.
• Collaborate with governance and architecture teams to align with enterprise AI and security standards.
• Maintain awareness of developments in generative AI and secure AI engineering.
• Mentor and guide less experienced colleagues and cross-functional partners.

Skills

Software engineering

Security engineering

Application Security

DevSecOps

Python

Generative AI

LLM integration

Agentic systems

Java

JavaScript/TypeScript

Go

C#/.NET

Cloud services

Kubernetes

Infrastructure as code

AI evaluation

Red teaming

OWASP Top 10

Education

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

Tools

Cloud platforms

Kubernetes

CI/CD

Git-based development

Job description

Cardinal Health, Inc. is seeking an experienced Application Security Engineer for AI and agentic security to design and operate AI-enabled security capabilities within our enterprise.

The role blends hands-on software development with deep AppSec expertise to enable secure AI-driven development. The engineer will collaborate with security, software engineering, and governance teams to pilot, measure outcomes, and scale secure AI workflows while balancing governance, cost, and reliability across