Who we are Artefact is the next generation end-to-end data and AI service company that helps organizations transform data into value and business impact. Our broad range of data and AI driven solutions in consulting are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. We have 2500+ employees across 36 offices who are focused on accelerating data and AI transformation. Thanks to a unique mix of company assets: State of the art data & AI technologies, agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, AI engineeres, data engineers, and digital experts, all dedicated to bringing extra value to every client. <div> About The Role Key Areas of Responsibility As an Applied AI Engineer, your role will encompass: - Conducting ambitious projects in the transformation of clients through data & AI. - Collaborating with the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients. - Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their organisation. Among your responsibilities as an Applied AI Engineer, you will be responsible for: Delivering data & AI projects <ul> <li>Securing delivery on your projects.</li> <li>Communicating your work and achievements among the team.</li> <li>Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs.</li> <li>Ensuring that your solutions bring value to the client’s business problem.</li> <li>Applying statistics, machine learning and agentic solutions where they are the right answer to the client’s question, from framing the problem to validating the result.</li> <li>Being a good team player, knowing your role and responsibility in the global ambition.</li> </ul> Building AI / agentic solutions for clients <ul> <li>Designing and building AI solutions — machine learning models, large language model agents, retrieval, tool calling, orchestration and workflow automation — that solve concrete business problems.</li> <li>Taking these solutions into production inside the client’s environment: their data platforms, their infrastructure, their security and compliance constraints.</li> <li>Designing, building, testing, deploying and evaluating these systems, and continuously improving them after go-live.</li> <li>Working on site with client teams, business and technical, to turn requirements into technical designs, prototypes and shipped systems.</li> <li>Documenting and handing over what you build, so the client’s teams can run and extend it.</li> <li>Holding the engineering standard: version control, code review, testing and reproducibility.</li> </ul> Being a great tech person <ul> <li>Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives.</li> <li>Researching and developing new technical approaches to address problems efficiently.</li> <li>Sharing best practices and contributing to Artefact’s institutional knowledge.</li> <li>Turning field experience into reusable assets — accelerators, templates and evaluation libraries — that other

Applied AI Engineer - China Campus Recruitment 2027

Job Description