AI Solution Architect ID201976

Objective of Job:
Contribute to the future of Mercedes-Benz in China by leading the charge in AI innovation – build innovative solutions, drive rapid prototypes, and scale AI to new heights. As part of the AI&Data Value team, the position is responsible to deliver data-driven and AI-powered solutions that help our organization to achieve efficiencies and that excite our customers.
As an AI solution architect in the team you will…
• Develop and steer the technical AI/ML strategy within MBGC IT.
• Contribute to the vision and technical roadmap for how MBGC can benefit from data science, AI & ML techniques as well as concrete milestones for how to realise this vision.
• Plan, design and manage the AI landscape in MBGC IT.
• Partner with business units (including RD, BMBS and other BU), understand their business problems and discover advanced analytics use cases through consulting and propose/design/implement solutions to these use cases in order to drive measurable business outcomes.
• Drive adoption of data-driven culture and the application of industry best practices to MBGC data assets.
• Drive business process innovation with AI technologies and monitor technology trend continuously
• Architect end to end AI & GenAI solutions that deliver measurable business impact across Mercedes Benz China, aligning with the company’s AI ecosystem, platform services, governance, and portfolio management processes.
• Responsible for contributing to and sharing best practice, know-how and participating in relevant technical discussion and governance forums in a subject matter expert capacity.
• Continuously research and evaluate new AI technologies and techniques to ensure Mercedes-Benz China remains at the forefront of AI innovation.
• University degree (MA/Phd preferred) with a very strong academic background in operational research or related subjects (e.g. mathematics, statistics, computer science, data mining, machine learning, logistics engineering, physics or a related quantitative discipline)
Experience:
• 8+ years in software/solutions architecture, 5+ years specializing in AI/ML/GenAI; proven record shipping AI systems at scale (enterprise or automotive).
• Familiar with common LLM architectural approaches (e.g. RAG, Agents), frameworks and tools (Langchain, Dify, HuggingFace) and fundamental principles
• Familiar with common data mining algorithms (clustering/classification/regression/association rules/graph models) and other algorithm principles, familiar with common machine learning algorithm principles, such as naïve Bayes/decision tree/random forest/logistic regression/SVM, etc., and have relevant application experience.
• Familiar with the application of AI and algorithms in the intelligent manufacturing or marketing & sales area
• Proficient in at least two programming languages: Python/Java/Scala/C++/C#, with solid coding ability.
• Experience of working with Spark
• Experience of working with relational database (MySQL/Postgresql /Oracle etc.), additional plus: GraphDB experience
• Experience with DevOps practices: source control (git preferred), unit testing, CI/CD
• Experience with agile software development (e.g., Scrum, Kanban)
• Experience of working in an agile team with internal and external resources
• Experience in multi-national company or multi-cultural environment
Specific Knowledge
• Data visualization knowledge (Power BI or Python plotting packages, etc,)
• Strong graph and statistical modelling experience and data analytics skills