Qualifications

• 10+ years of experience in software engineering and systems engineering.
• Expertise in AI security and developer productivity tools like GitHub Copilot or Claude.
• Strong skills in application security and integration of AI/LLMs.
• Knowledge in Java modernization and CI/CD processes.
• Familiarity with DevSecOps, cloud technologies, Kubernetes, and infrastructure automation.

Responsibilities

• Lead AI security and platform modernization initiatives within Digital Technology.
• Develop and implement an AI vulnerability management and Mythos remediation roadmap.
• Enhance engineering modernization to facilitate rapid release capabilities.
• Serve as a technical architect, designing solutions that improve engineering efficiency.
• Strengthen the organization's security posture against emerging threats.

Benefits

• Innovative work environment with a focus on cutting-edge AI technologies.
• Opportunities to drive impactful projects within a dynamic digital landscape.
• Collaboration with expert teams across systems engineering and security.
• Potential for professional growth in AI security and developer productivity roles.
• Hands-on involvement in shaping engineering practices and security measures.