Job Responsibilities: Responsible for the overall architecture design of AI systems, including but not limited to data processing architecture, model training architecture, and inference architecture.
Conduct comprehensive evaluations 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.负责AI系统的整体架构设计,包括但不限于数据处理架构、模型训练架构、推理架构等。从系统的可扩展性、稳定性、性能、安全性等多方面进行综合考量,确保架构能够满足未来产品转换需求并具备良好的前瞻性。制定技术路线图和架构演进规划,根据公司业务发展战略和AI技术发展趋势,明确不同阶段的架构目标和关键任务,指导团队有序开展架构优化和升级工作,使AI系统始终处于行业领先水平,为业务创新提供有力支撑。负责AI系统的部署和上线工作,制定详细的部署方案,确保系统的顺利部署和稳定运行。在系统上线后,持续关注系统的运行情况,及时处理可能出现的故障和问题,确保系统能够持续稳定地为用户提供服务,保障业务的连续性。与数据科学家、算法工程师、开发工程师等紧密合作,深入了解业务需求和数据特点,协助团队成员解决在项目开发过程中遇到的技术难题,提供架构层面的指导和支持,确保各团队的工作成果能够无缝集成到整体AI架构中,形成高效协同的工作模式,共同推动AI项目的顺利实施。组织技术培训和经验分享活动,向团队成员传授先进的AI架构设计理念、技术知识和实践经验,提升团队整体的技术水平和架构意识,营造良好的技术氛围,促进团队成员的个人成长和团队整体能力的提升。完成领导交办的其他任务。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.
