Lenovo

This position is for an AI Security Engineer in the Security Center of Excellence for PC and Smart Device business (PCSD). This is an exciting role that will give you the opportunity to work with Product teams around the globe to perform AI product security reviews on PCSD’s many hardware, software, and services products. You will join a team of proven security-focused architects and developers to help create security requirements, model threats, review and improve designs, and review release candidates. You will be asked to evaluate and address security risks as they are detected. You will work closely with development teams to scope, plan, and execute security validation tests. This role will support many types of Lenovo Products sold in every region of the world.

The ideal candidate will have academic training and industry experience with generative AI product design and development, as well as AI application security and classic application security.

In Summary you will:

• Build security requirements for AI products
• Review product designs, model threats, and provide feedback to development teams
• Review product release candidates, assess security risks, and drive mitigation of vulnerabilities
• Stay up to date on the latest testing tools and techniques ensure both yourself and the teams are using the most effective methods.

Position Requirements

Basic Qualifications:

• Bachelors degree in cybersecurity, computer science, computer engineering, or related fields
• 1+ years of cybersecurity review experience
• 1+ years of experience with AI/ML technologies and implementing related security controls

Preferred Qualifications:

• Strong written and verbal communications and interpersonal skills
• Ability to work independently under tight deadlines, responding to changing business and technical conditions with minimal direction
• Strong programming skills in Python, Java, JavaScript, C/C++, C#, Kotlin, Swift, etc.
• Experience working in a world-wide team
• Experience with AI model training, inferencing, RAG, prompt engineering, and AI guardrails
• Experience threat modeling both non-generative and generative AI solutions