AI Solution Architect

Responsibilities:

Collect and sort out customers' AI requirements for each service scenario based on customers' business status quo and design corresponding AI solutions.

Design the AI solution architecture based on customer requirements, communicate with business and technical parties about the solution, and promote the implementation of the solution.

Support the implementation of AI solutions and continuously optimize AI solutions through project implementation and business feedback.

Local AI market insight and trend analysis.


Technical Skill Required (Product and Solutions):

Bachelor's degree and graduate degree in computer science, artificial intelligence, machine learning or related majors. At least 5 years of computer related experience and at least 2 years of AI related experience.

Have a basic command of mainstream LM and orchestration model capability boundaries, such as Open AI (GPT4, GPT-4o, and embedding), DeepSeek, Qianwen, HiAgent, and Dify.

Be familiar with the technical principles of large model application, RAG, embedding, and LangChain. Have solid Linux basic knowledge. Be familiar with common Linux commands and shell programming.

Strong communication and expression skills and on-the-spot response skills.

Experience Required:

Have rich experience in enterprise solution architecture and have a deep understanding of the AI industry, be familiar with the solution implementation process and solutions to pain points.

Have at least two years of AI project experience and large-scale project operation experience, and be familiar with the AI solution implementation process and pain point solutions.

Have a basic command of deep learning applications, mainstream cloud platforms, and microservice architectures, have a good command of the entire data processing process.

Education/Certification Preferred:

Bachelor degree or above, majoring in computer, software engineering or AI engineering, etc.

Professional certifications for AWS, Azure, and Google cloud services are preferred.