AI Architect AI架构师

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• Responsible for the overall architecture design of AI systems, including but not limited to data processing architecture, model training architecture, and inference architecture. Conduct comprehensiveevaluations considering scalability, stability, performance, security, and other factors to ensure the architecture meets future product transition requirements and possesses strong foresight.

• Develop the technology roadmap and architecture evolution plan. Define architectural goals and key tasks for different phases based on the company's business development strategy and AI technology trends. Guide the team in orderly execution of architecture optimization and upgrades, maintaining the AI system at an industry-leading level and providing strong support for business innovation.

• Responsible for the deployment and launch of AI systems. Formulate detailed deployment plans to ensure smooth deployment and stable operation. After launch, continuously monitor system performance, promptly address potential failures and issues, guarantee uninterrupted service delivery to users, and ensure business continuity.

• Collaborate closely with data scientists, algorithm engineers, development engineers, etc., to gain a deep understanding of business requirements and data characteristics. Assist team members in resolving technical challenges encountered during project development, providing architectural guidance and support. Ensure seamless integration of deliverables from various teams into the overall AI architecture, fostering an efficient collaborative work model and jointly driving the successful implementation of AI projects.

• Organize technical training and knowledge-sharing sessions. Disseminate advanced AI architecture design concepts, technical knowledge, and practical experience to team members. Enhance the team's overall technical proficiency and architectural awareness, cultivate a positive technical culture, and promote individual growth alongside the enhancement of the team's collective capabilities.

• Complete other tasks assigned by leadership.

Job Requirements:

• Possesses a solid theoretical foundation in computer science, including data structures, algorithm design, operating systems, computer networks, and database principles. Proficiently applies these fundamentals to solve complex AI architecture problems, providing robust theoretical underpinnings for the efficient operation of AI systems.

• Demonstrates extensive experience in system architecture design, capable of architecting scalable, high-performance, highly available, secure, and reliable AI systems from a macro perspective. Proficient in distributed system architecture design principles and methodologies. Masters key technologies such as microservices architecture, service discovery & registration, configuration centers, and API gateways. Able to design appropriate distributed AI system architectures based on business requirements, achieving horizontal scaling and high-concurrency processing capabilities.

• Highly proficient in at least one mainstream programming language (e.g., Python, Java, C++). Exhibits strong coding practices and adherence to code standards, capable of writing high-quality, maintainable, and extensible code. Familiar with software development lifecycles and version control systems (e.g., Git). Skilled in utilizing agile development methodologies for project execution and team collaboration, ensuring efficient project delivery and quality assurance.

• Boasts over 5 years of hands-on experience in the artificial intelligence field, with a minimum of 3 years in an AI Architect or related technical leadership role. Possesses substantial experience in designing, developing, and implementing large-scale AI projects. Capable of independently undertaking the architecture design and optimization of complex AI systems. Has successfully delivered multiple AI projects with significant industry impact. Possesses deep understanding and practical experience in applying AI technologies across diverse business scenarios.

• Excellent communication and coordination skills. Fluent in all four English skills (listening, speaking, reading, writing), enabling the effective conduct of daily research and development work in English.

Seniority level

• Seniority levelNot Applicable

Employment type

• Employment typeFull-time

Job function

• Job functionResearch

• IndustriesTelecommunications and Research Services

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