AI Security Engineer - Secure AI/LLM Platforms

Elevance Health, Inc.; Leawood (KS); Hybrid; USD 140,000 - 210,000; Full time

Job summary

Elevance Health, Inc. is seeking an AI Security Software Engineer to design, develop, and implement AI-driven security solutions for enterprise applications.

The role combines software engineering, application security, DevSecOps, and LLM technologies to strengthen security and reduce enterprise risk. You will work in a hybrid office model with 1-2 days in office per week and collaborate with security, engineering, and platform teams to deliver scalable security solutions, incident response

Qualifications

• Requires BS/BA in information technology or related field and a minimum of 8 years experience in systems administration and security aspects of information systems, access management and network security technologies.
• Experience with multiple technical and business disciplines required; or any combination of education and experience providing equivalent background.
• Strong knowledge of OWASP Top 10, CWE, SAST/DAST/SCA and API security practices.

Responsibilities

• Design, develop, test, and maintain AI-enabled security solutions and automated vulnerability assessment capabilities.
• Build and integrate security assessment pipelines combining traditional tools with AI-assisted source code analysis.
• Lead DevSecOps integration into CI/CD pipelines and enforce secure coding practices.
• Establish security guardrails for AI-generated code and data handling.
• Collaborate with cross-functional teams to deliver scalable security solutions.
• Provide guidance and troubleshooting for security incidents and complex issues.

Skills

Python

FastAPI

REST APIs

Async processing

pytest

SQL databases

AI/LLM integration

DevSecOps

CI/CD pipelines

Security best practices

Education

BS/BA in information technology or related field

Tools

GitHub

GitLab

Jenkins

Azure DevOps

Bitbucket

Job description

Elevance Health, Inc. is seeking an AI Security Software Engineer to design, develop, and implement AI-driven security solutions for enterprise applications.

The role combines software engineering, application security, DevSecOps, and LLM technologies to strengthen security and reduce enterprise risk. You will work in a hybrid office model with 1-2 days in office per week and collaborate with security, engineering, and platform teams to deliver scalable security solutions, incident response