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Staff Solution Architect, China at Phenomenex has been filled or removed.
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Be part of something altogether life-changing!
Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies.
At Cytiva you will be able to continuously improve yourself and us – working on challenges that truly matter with people that care for each other, our customers, and their patients. With associates across 40+ countries, Cytiva is a place where every day is a learning opportunity – so you can grow your career and expand your skills in the long term.
Forming part of the Biotechnology segment at Danaher, we bring together dedicated technical expertise and talent to develop the next generation of life-changing therapeutics.
The Staff Solution Architect, China for Cytiva is responsible for driving productivity by implementing advanced technology solutions, adhering to global standardization, and executing the technical strategy on local solutions that are aligned with Global platforms / strategies.
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.
What you will do:
Who you are:
Bachelor’s degree or above in Computer Science, Software Engineering, Data Science, AI, or related fields, with 3–7 years of hands‑on experience in software development, data engineering, or AI/ML solution delivery using major AI tech stacks (e.g., Python, PyTorch, TensorFlow, LangChain, Azure AI, OpenAI API). Proven experience designing enterprise‑grade AI solutions, including end‑to‑end model lifecycle management (monitoring, versioning, drift detection, LLMOps) and the ability to evaluate AI business use cases and translate them into technical architectures. Working knowledge of responsible AI practices such as safety, compliance, and risk controls, along with strong understanding of data readiness, data governance, metadata management, and the data integration patterns required for AI/ML and LLM‑based systems. Solid knowledge of cloud architectures, packaged SaaS implementation, system integration, cloud hosting, and contemporary design approaches including RESTful APIs, microservices, and event‑driven architectures Experience working with both global AI platforms (Azure AI, Azure OpenAI) and China‑compliant LLMs (e.g., Baidu, Alibaba Qwen, Tencent), with the ability to design solutions that integrate China‑based platforms and cloud environments with global systems. Strong communication skills in English and Mandarin to collaborate effectively across diverse teams. Strong communication skills in English and Mandarin to collaborate effectively across diverse teams.
It would be a plus if you also possess previous experience in:
At Cytiva we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, hybrid working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a hybrid work arrangement in which you can work part-time at the Company location identified above and part-time remotely from your home. Additional information about this hybrid work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Cytiva can provide.
Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
For more information, visit www.danaher.com.
BIOTECHNOLOGY
HPLC Products
This listing was originally posted on Phenomenex's careers page. Formulate is an equal opportunity job aggregator and is not involved in the hiring process. Where salary information is estimated, it is derived from BLS industry benchmarks and may differ from actual compensation.
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