Note: The job is a remote job and is open to candidates in USA. Lenovo is a global technology company focused on delivering AI-enabled devices, infrastructure, software, solutions, and services. The Advisory Engineer, AI Security will lead technical standards, governance, security reviews, threat intelligence, and enterprise security integration for AI models and development tools. The role requires deep expertise in AI security, including LLM vulnerabilities, security architecture, cloud environments, APIs, and data pipelines.
Responsibilities
- Design, implement, and maintain technical controls and assessment methodologies for Large Language Models and AI development tools and platforms
- Lead the requirements, vetting, and management of third-party and first-party AI security tools deployed within the development environment
- Develop and maintain technical security standards, documentation, and reporting for the Chief AI Office
- Close collaboration with the CSO AI Security and Responsible AI teams on developing and delivering end-to-end security reviews and monitoring capabilities for AI
- Hands-on experience integrating enterprise security tools into cloud or development environments
- Participate in incident response and product security operations as needed
- Support the CSO IT Security and business unit security teams in the deployment of AI-driven security technologies
- Ensure the AI model and systems security programs are robust, effective, and aligned with Product and Services Security Program requirements
- Occasional domestic and international travel (approx. 5-20%) for meetings and collaboration
Skills
- This person must be a strategic thinker and strong collaborator with both leadership capability and deep technical expertise in AI security
- The candidate should understand AI technologies, including LLM architectures and associated vulnerabilities, attack vectors, and remediation strategies across AI models and platforms
- Hands-on experience designing security architectures and integrating AI systems with enterprise security tools across cloud environments, APIs, and data pipelines is essential
- A passion for AI, technology and engineering excellence is critical, with a strong belief that security is built through people, process, and scalable technology
- • 2+ years of experience in security analysis, implementation, management of AI systems, including LLMs and development platforms
- • Experience in threat analysis and risk mitigation of AI models within the product or systems development lifecycle, including incident response best practices
- • Familiar with the application scenarios and basic principles of AI technologies
- • Familiarity with API-based security integrations, automation, and orchestration in modern security architectures
- • Experienced in deployment, configuration, and management of network-based security detection and response tools
- • Ability to participate in incident response and product security operations as required
- • Deep understanding of AI and development trends of the AI industry
- • Strong collaboration skills to work effectively with cross-functional teams, including IT Security and business unit product development teams, on AI-driven security initiatives
- • Bachelor's degree in computer science, artificial intelligence, data science, software engineering, mathematics, or equivalent experience
- • 8+ years of experience in IT or product security
Benefits
- Opportunities for career advancement and personal growth
- Access to a diverse range of training programs to sharpen your skills
- Performance-based rewards that celebrate your achievements
- Hybrid setup: 3 days connecting with the team in the office and 2 days working from the comfort of your home
Company Overview
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