AI technical Architect

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Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 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).
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Job Responsibilities：

- Participate in the formulation of SSG R&D AI strategy by analyzing market dynamics, technology trends, and emerging opportunities to support strategic planning and business growth.
- Research, evaluate, and assess the latest developments in Hybrid AI and Generative AI technologies, providing innovative recommendations and forward-looking insights for enterprise applications.
- Identify opportunities and challenges related to AI adoption in enterprise environments, delivering data-driven strategic recommendations that support business objectives and solution innovation.
- Continuously monitor AI industry advancements and prepare technical analysis reports to support organizational decision-making and long-term technology planning.
- Study emerging Generative AI technologies, including multimodal and multi-model systems, Retrieval-Augmented Generation (RAG), and AI agents, and evaluate their potential impact on software products and solutions.
- Assess the feasibility, risks, and commercial value of AI technologies, providing recommendations to optimize investment, adoption strategies, and technology roadmaps.
- Evaluate existing AI architectures and solution designs, recommending enhancements and optimizations to align with the rapid evolution of AI technologies and industry best practices.
- Deliver AI technology trend sharing sessions, knowledge transfer activities, and training programs for relevant teams and stakeholders within SSG.
- Contribute to the development of technical documentation, research reports, and solution materials while promoting the adoption of emerging AI technologies across projects and initiatives.
- Support the design and implementation of AI ethics, governance, and compliance frameworks to ensure AI applications align with Responsible AI principles and organizational standards.

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Job Requirements：

- Strong understanding of Artificial Intelligence, Generative AI, and Hybrid AI technologies, with the ability to evaluate emerging trends and their potential business impact.
- Proven ability to conduct technology research, market analysis, and strategic assessments, translating findings into actionable recommendations and technology roadmaps.
- Familiarity with modern AI technologies and architectures, including multimodal and multi-model AI systems, Retrieval-Augmented Generation (RAG), AI agents, and related solution frameworks.
- Strong analytical and problem-solving skills, with the ability to assess technology feasibility, risks, commercial value, and implementation considerations.
- Ability to evaluate and optimize AI solution architectures while maintaining awareness of evolving industry standards and technological advancements.
- Excellent communication and presentation skills, with the ability to share technical insights, deliver training, and engage effectively with both technical and business stakeholders.
- Experience preparing technical documentation, research reports, strategic recommendations, and executive-level analysis materials.
- Knowledge of AI ethics, governance, compliance practices, and Responsible AI principles, with the ability to support their implementation in enterprise environments.
- Demonstrated ability to work collaboratively across cross-functional teams and contribute to strategic technology initiatives in a dynamic environment.