Advisory Product Requirements Engineer, AI Orchestration

Job Summary

You will be the core bridge between business needs and technical RD, undertaking business needs and converting them into standardized, executable technical specifications and RD plans. You will balance business needs and technical implementation constraints, align technical solutions with all RD roles, and ensure all RD 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.

• Conduct in-depth analysis and decomposition of business needs, output detailed and standardized technical specifications (Tech Specs), clearly defining RD 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 RD and prototype development, timely respond to the technical team’s questions about business needs, synchronize demand change information, and ensure the RD direction is consistent with the original business needs.
• Compile complete product requirement documents, technical solution documents and RD 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 RD team to improve the prototype’s business adaptability.

• 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 familiarity with the technical characteristics of open‑source agentic frameworks such as Lang Graph, Lang Chain, Llama Index and Auto Gen.
• 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 RD 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 RD teams, and promote the smooth implementation of demand conversion and RD projects.
• Proficiency in Python and common AI development tools, with basic system design capabilities, able to participate in the core discussion of RD solutions.

• Experience in AI prototype design and development, able to assist the RD 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.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.