Senior AI Security Engineer - DevSecOps & Cloud

RiseMe; Columbus (GA); On-site; USD 140,000 - 234,000; Full time

Job summary

McKesson is seeking a Senior Product Security Engineer, AI & DevSecOps to embed security across the software development lifecycle, with a focus on AI-enabled products and cloud-native platforms.

This hands-on role partners with engineering, platform, architecture and product teams to translate security requirements into practical guidance, reusable patterns, and automated controls. Strong coding and AI security experience are essential.

Qualifications

• Degree in Computer Science, Information Security, Engineering, or equivalent experience.
• 7+ years of relevant security or software development experience.
• Hands-on coding with TypeScript, Java, Ruby, Python or equivalents.
• Experience with threat modeling, security reviews, and remediation.
• Experience integrating security into CI/CD pipelines.
• Experience securing AI/ML platforms and AI-enabled DevSecOps.

Responsibilities

• Embed security throughout the software development lifecycle.
• Partner with engineering to translate security requirements into patterns and controls.
• Write and review code to identify vulnerabilities and attack vectors.
• Develop reusable security patterns and automated guardrails.
• Assess and secure AI, ML, generative AI, and LLM solutions.
• Integrate automated security testing into CI/CD pipelines.

Skills

Security engineering

DevSecOps

AI security

Secure coding

Threat modeling

CI/CD automation

Cloud security

Kubernetes

Programming (TypeScript, Java, Python)

Education

Bachelor’s degree in CS/InfoSec/Engineering

Tools

GitHub Actions

Terraform

Azure DevOps

Jenkins

Job description

McKesson is seeking a Senior Product Security Engineer, AI & DevSecOps to embed security across the software development lifecycle, with a focus on AI-enabled products and cloud-native platforms.

This hands-on role partners with engineering, platform, architecture and product teams to translate security requirements into practical guidance, reusable patterns, and automated controls. Strong coding and AI security experience are essential.