[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Mercedes-Benz Group jobs](https://jobs.opennash.com/companies/mercedes-benz-group/) · [Search jobs](/search/) Mercedes-Benz Group · Beijing, CN # LEAD AI 架构师(AIOS) LEAD AI Architect (AIOS) Beijing, CN Manager or lead Listed on Mercedes-Benz Group’s official careers site. Posted October 20, 2026. Check that it is still open and apply there. [Apply on Mercedes-Benz Group’s careers site →](https://jobs.mercedes-benz.com/en/lead-ai-(aios)-lead-ai-architect-(aios)-216946-mer00042vs) [OpenNash Jobs](https://jobs.opennash.com/) / [Mercedes-Benz Group](https://jobs.opennash.com/companies/mercedes-benz-group/) / LEAD AI 架构师(AIOS) LEAD AI Architect (AIOS) ## Job description Tasks As a world-leading OEM, Mercedes-Benz seeks experts who are passionate and enthusiastic about applying AI technologies to the automotive industry. We are specifically looking for self-motivated and knowledgeable architect with a strong background in computer vision, large language models, and their practical applications to join our team. As a Lead AI Architect, you will lead the design, development, and continuous evolution of an end-to-end, vehicle-cloud integrated AI architecture spanning major vehicle domains, including cockpit, ADAS, body, chassis, and powertrain. This role is highly hands-on, focusing on AI algorithm industrialization, use case deployment, model adaptation, and delivery to mass production. You will bridge cloud AI, vehicle-side embedded AI, and cross-domain software to build robust, deployable, and vehicle-qualified AI systems. Task Description Own the end-to-end vehicle-cloud integrated AI architecture, covering the cloud AI platform, on-board AI deployment, cross-domain AI orchestration, closed-loop data, and model lifecycle management. Drive AI use case implementation end-to-end, from requirements definition and technical design through model selection, data preparation, training and fine-tuning, to vehicle-side optimization, integration, calibration, and mass-production release. Design and optimize cloud-side AI capabilities, including model evaluation, training data preparation, fleet-based model updates, and vehicle-cloud collaborative inference. Lead on-board AI model adaptation, including quantization, latency optimization, memory tuning, and power/thermal optimization for automotive SoCs and domain controllers. Translate research results, open-source models, and prototype algorithms into stable, reliable, automotive-grade AI functions that perform under real-world conditions. Collaborate closely with cloud platform, hardware, software and testing teams to align architecture, resolve blockers, and accelerate AI feature delivery. ### Qualifications Qualifications 5+ years of hands-on, production-oriented AI engineering experience, with a strong track record in deploying and industrializing AI algorithms for automotive or embedded systems. OEM or Tier-1 experience is highly preferred. Strong hands-on expertise in model training, fine-tuning, optimization, quantization, and deployment. Deep understanding of vehicle-cloud integrated AI systems, including cloud training pipelines, model management, on-board deployment, OTA model updates, and closed-loop data systems. Knowledge of multiple vehicle domains, including cockpit, ADAS/ADS, body, chassis, and powertrain etc., with a solid understanding of vehicle E/E architecture and the automotive software development process. Proven experience in on-vehicle integration, debugging, and problem-solving, with the ability to independently deliver AI features from prototype to mass production. Excellent cross-team communication, stakeholder alignment, and execution skills, with the ability to drive complex AI architectures into real products. Outstanding analytical and problem-solving skills. Technical leadership and ability to make decisions based on technical facts. Strong sense of ownership and drive. Good communication skills and ability to work in a collaborative, cross-functional environment. English proficiency in written and spoken form. ## At a glance - Posted by the employer: Oct 20, 2026 - First seen by OpenNash: Oct 20, 2026 - Last checked: Oct 20, 2026 - Listed for: Under a day - Location: Beijing, CN[Apply on Mercedes-Benz Group’s careers site →](https://jobs.mercedes-benz.com/en/lead-ai-(aios)-lead-ai-architect-(aios)-216946-mer00042vs) ## More jobs at Mercedes-Benz Group ### [Lead系统架构师(TCU) Lead System Architect (TCU)](https://jobs.opennash.com/companies/mercedes-benz-group/jobs/ce16a2201341eab32dfb/) Beijing, CN ### [AI & Data Solutions](https://jobs.opennash.com/companies/mercedes-benz-group/jobs/d1223ebbb62d268229a2/) Beijing, CN ### [Platform Management Digital & AI Transformation_平台管理 - 数字化与AI转型负责人](https://jobs.opennash.com/companies/mercedes-benz-group/jobs/b108ef95dd14420b235f/) Beijing, CN ### [Quality Management EE PLQ ADAS_高级驾驶辅助系统项目质量管理工程师](https://jobs.opennash.com/companies/mercedes-benz-group/jobs/d187e047e8b9b20bf3b4/) Beijing, CN ### [Quality Management EE PLQ MBOS_MB.OS项目质量管理工程师](https://jobs.opennash.com/companies/mercedes-benz-group/jobs/1e4d155cd0d413aa0fac/) Beijing, CN ## Similar jobs at other companies ### [Aios 开发工程师](https://jobs.opennash.com/companies/xiaomi/jobs/65202368107e11ee48b6/) Xiaomi · 南京 ### [座舱OS技术负责人 （Aios）](https://jobs.opennash.com/companies/chery-automobile/jobs/9382a7d4f47a395c3e16/) Chery Automobile · 安徽省, 芜湖市 ### [架构师](https://jobs.opennash.com/companies/ping-an-insurance/jobs/50575679fe9958095ac9/) Ping An Insurance Group · 深圳市 ### [AI Native 架构师（企业级 AI Agent 开发平台）](https://jobs.opennash.com/companies/siemens/jobs/a313d374a5f03056cb2f/) Siemens OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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