Why Work at Lenovo

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world's largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo's continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

• Shape and define solution requirements through meetings, analysis, workshops, partner visits, use cases, and scenarios to ensure alignment with business and technical goals.
• Translate requirements into comprehensive architectures and solution designs that address AI and edge computing needs.
• Develop business case collateral, including costing solutions across the end-user space, and manage deployment tools, processes, and personnel.
• Drive the technical certification, validation, and deployment of AI and edge computing solutions across customer architectures.
• Work autonomously across regions and functions to deliver impactful results with minimal supervision.
• Cultivate trusted, meaningful partner relationships at all levels by demonstrating a deep understanding of their key business and AI-related challenges.
• Work with cross-functional teams to develop solution content that helps users understand and use our products effectively.

• Bachelors Degree in Business, Engineering, or similar
• At least 3 years of experience in the Server Solutions environment.
• At least 5 years of hands-on experience building and maintaining AI and edge computing solutions.
• Strong experience collaborating with strategic partners, demonstrating high-level technical knowledge in AI, business value, use cases, and solution migration.
• Previous experience in artificial intelligence, machine learning, and computer vision technologies.

• In-depth understanding of datacenter and edge computing technologies, including hardware and management software.
• Proficiency in Kubernetes, container orchestrators, and other containerization technologies for managing edge and AI workloads.
• Proven ability to work with central datacenter and edge computing hardware, as well as associated management tools.
• Proficiency in Linux, Windows, VMware, and relevant scripting tools.
• Excellent communication, presentation, persuasion, and negotiation skills, both written and verbal