Drive AI Adoption in China: Building front-end and back-end components for AI applications, building/consuming APIs, building customer-centric user interfaces and designing integrations with other systems using .Net, JavaScript, Angular or React, SQL Collaborate with IT Business Relationship Managers and business stakeholders to identify high-impact AI use cases and document clear, actionable AI requirements. Provide technical support to application owners in developing the AI solution Project Management: Manage multiple AI projects simultaneously, ensuring they are delivered on time, within scope, and within budget. Coordinate cross-functional teams, including IT, engineering, operations, and supply Chain etc, to ensure successful project execution. Identify and mitigate risks associated with AI projects and implement corrective actions as needed. Innovation and Continuous Improvement: Stay abreast of the latest AI trends, technologies, and best practices to drive innovation within the organization. Foster a culture of continuous improvement by encouraging experimentation, learning, and adaptation. Collaborate with global AI teams to share the best practices, leverage existing solutions, and drive continuous improvement Bachelor's degree in computer science, engineering, or related field. A master's degree in AI, Machine Learning, or Data Science is preferred. A minimum of 10 years of experience in information technology, including at least 5 years specializing in artificial intelligence, machine learning, or data science. Proven track record in identifying AI use case and build front-end and back-end components for AI applications Proven track record of successfully leading AI projects in a global organization. Experience with AI applications and platforms used, such as Microsoft Azure AI Services, Palantir and other AI solutions like local AI service (DeepSeek, Qwen for example). Deep understanding of AI technologies, including machine learning, natural language processing, computer vision, data analytics and retrieval-augmented generation. Proficiency in front-end technologies (React or Angular) and back-end technologies (e.g., Node.js, Python, .NET). Strong understanding of AI and machine learning frameworks (e.g., TensorFlow, PyTorch). Proficiency in scripting and automation tools (e.g., Python, SQL, JavaScript, PowerShell, Azure CLI) Expertise in cloud native development specialized in Microsoft Azure tech stack and Ali Cloud tech stack. Strong analytical and problem-solving skills, with the ability to think strategically and make data-driven decisions. Experience with AI platforms like Palantir and Snowflake is advantageous Excellent project management skills, with the ability to manage multiple projects simultaneously. Excellent communication and interpersonal skills, with the ability to build relationships and influence stakeholders at all levels. Experience working in a multinational organization with a diverse and distributed team. Familiarity with regulatory requirements and data privacy standards in China. Proficiency in Mandarin and English. We are committed to ensuring equal employment opportunities for job applicants and employees. Our recruitment processes use balanced selection criteria and avoid unlawful discrimination against applicants on the basis of their age, colour, disability, marital status, national origin, gender, gender identity, genetic information, race or racial origin, religion, sexual orientation or any other status protected or required by law.
