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This position is part of the China IT located in Shanghai and will be working in an on-site model. At Cytiva, our vision is to advance future therapeutics from discovery to delivery.
Job Responsibility:
Collaborate with Business Enablement to determine when local capabilities are necessary versus when global or enterprise teams should lead delivery
Translate business needs into technical solutions tailored for the China market
Oversee the entire solution lifecycle with a China focus—architecture blueprints, technical documentation, and delivery
Develop secure, scalable, and maintainable solutions that adhere to enterprise architecture standards
Ensure local AI solutions remain interoperable with global architectures
Actively participate in global design reviews, contributing China-specific requirements to global platform roadmaps
Oversee vendor-delivered solutions for China, providing ongoing architectural governance
Requirements:
Bachelor’s degree or above in Computer Science, Software Engineering, Information Systems, or a related field
5–7 years of hands-on experience delivering digital solutions in China, preferably within complex or multi-national enterprise environments
Strong experience designing and delivering China local technology (like WeChat / WeCom–based solutions, Ali cloud) including integration with enterprise systems
Proven background in China digital transformation initiatives
Solid understanding of China IT landscape and implementation context, including local vendors, platforms, data regulations, and integration patterns
Strong knowledge of cloud architectures, packaged SaaS implementation, system integration, and modern design approaches such as RESTful APIs, microservices, and event-driven architectures
Strong communication skills in English and Mandarin
Nice to have:
AI / ML solution design or delivery, including exposure to global AI platforms (e.g., Azure AI, Azure OpenAI) and/or China-compliant LLMs (e.g., Baidu, Alibaba Qwen, Tencent)
Evaluating AI use cases and contributing to solution architecture in areas such as data readiness, governance, responsible AI, or AI-enabled business capabilities