Advisory Product Requirements Engineer, AI Orchestration

LATC Summary:

Lenovo AI Technology Center (LATC) is Lenovo's global AI Center of Excellence, fueling the enterprise's transformation into an AI-first organization. As a world-leading computing company, Lenovo offers a full spectrum of technology products and solutions, covering wearables, Motorola smartphones, ThinkPad/Yoga laptops, PCs, workstations, servers, and end-to-end services. This unparalleled product breadth creates a unique canvas for AI innovation, enabling rapid deployment of cutting-edge foundation models and flexible hybrid-cloud, agentic computing across the entire product portfolio. LATC is building the next wave of AI core technologies and platforms that evolve with the fast-moving AI ecosystem, focusing on novel model and agentic orchestration & collaboration across mobile, edge, and cloud resources. Our mission is to position Lenovo and its customers at the forefront of the global AI generational shift, advancing Lenovo's Hybrid AI vision and delivering Smarter Technology for All.

Job Summary:

You will be the core bridge between business needs and technical R&D, undertaking business needs and converting them into standardized, executable technical specifications and R&D plans. You will balance business needs and technical implementation constraints, align technical solutions with all R&D roles, and ensure all R&D and delivery work is centered on business value realization. This role is critical to turning messy business needs into clear technical tasks and laying a solid foundation for the team's reference design and product delivery.

Key Responsibilities:

• Conduct in-depth analysis and decomposition of business needs, output detailed and standardized technical specifications (Tech Specs), clearly defining R&D goals, technical indicators, interface specifications, delivery standards and project timelines.
• Leverage hands-on experience in enterprise-level AI solution design and implementation, develop tailored AI solution frameworks, conduct solution feasibility analysis, independently verify the effectiveness and compatibility of open-source projects and third-party AI products, and translate complex business pain points into practical, scalable AI deployment plans for global business groups and external enterprise clients.
• Work closely with Agentic Engineers, AI Engineers and Full-Stack Delivery Engineers to evaluate the feasibility of technical solutions, balance the trade-offs between business needs and technical implementation cost, difficulty and cycle, and adjust solutions in a timely manner based on technical feedback.
• Track the entire process of R&D and prototype development, timely respond to the technical team's questions about business needs, synchronize demand change information, and ensure the R&D direction is consistent with the original business needs.
• Compile complete product requirement documents, technical solution documents and R&D guidelines, establish a standardized document management system, and provide clear technical guidance for subsequent engineering delivery to avoid repeated development.
• Participate in the verification of the reference design prototype, combine business needs to evaluate the product's business value realization effect, and put forward optimization suggestions for the R&D team to improve the prototype's business adaptability.

Required Qualifications:

• Bachelor's degree or above in Computer Science, Artificial Intelligence, Software Engineering or related fields. Master's or PHD is highly preferred.
• 5+ years of experience in enterprise AI product definition, requirement decomposition and technical specification development, with a track record of delivering enterprise-grade AI solutions.
• Profound understanding of core AI technologies and frameworks (agentic AI, LLMs, RAG, multimodal models), and familiar with the technical characteristics of open-source agentic frameworks such as LangGraph, LangChain, LlamaIndex and AutoGen.
• Excellent document writing and logical thinking capabilities, able to output high-quality, executable technical specifications, and clearly define technical indicators and implementation standards for all R&D links.
• Strong problem decomposition and analysis capabilities, able to convert vague business needs into specific, modular technical tasks, and independently judge the feasibility of technical solutions.
• Good cross-team collaboration and communication skills, able to efficiently communicate and coordinate with business teams and technical R&D teams, and promote the smooth implementation of demand conversion and R&D projects.
• Proficiency in Python and common AI development tools, with basic system design capabilities, able to participate in the core discussion of R&D solutions.

Preferred Qualifications:

• Experience in AI prototype design and development, able to assist the R&D team in prototype verification and optimization.
• Familiar with hybrid cloud and edge-cloud collaboration technical architecture, with experience in integrating AI technology with hardware products.
• Experience in managing the entire product development cycle of AI products, from requirement definition to prototype delivery.

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