Forward-Deployed Engineer

Job Description ■ Why This Position is Needed This company is a technology company that has created business value through AI and data. Having supported over 2,500 companies, the next challenge that has emerged is the "last mile"—integrating AI into on-site operations. Model performance has improved, and data infrastructure is in place. However, the biggest reason why AI implementation doesn't yield results is the lack of people to bridge the gap between technology and on-site operations. The FDE (Forward Deployed Engineer) position involves deeply immersing oneself in the customer's environment, defining problems, solving them with technology, and seeing the implementation through to business integration. ■ Your Mission The FDE's mission is to enter the customer's environment and integrate AI solutions into operations as something "working"—not just leaving it as a concept, but seeing it through to on-site implementation. 1. Identifying On-Site and Business Challenges: We engage with diverse stakeholders, including LoBs and IT departments, and define "questions that should be solved with AI" based on the context of operations and business logic. 2. Rapidly Creating Prototypes to Advance Customer Decision-Making: We utilize AI coding tools to quickly bring ideas to life during discussions. 3. Implementing in the Field: We overcome constraints such as security, existing system integration, operational structures, and user literacy, and connect prototypes to actual operation. Job Requirements ■ Required Skills Candidates must meet all of the following criteria: * Practical experience in client work * Experience in reaching consensus with multiple stakeholders, including management, business divisions, and IT departments * Experience in implementing PoCs and prototypes through hands-on work * Experience in proposing, designing, and implementing solutions utilizing generative AI/LLM, or experience in defining and proposing AI-driven solutions in collaboration with clients. ■ Preferred Skills Experience or knowledge in any of the following areas is welcome: * Experience in customer-facing pre-sales activities * Experience in system design and construction combining public cloud and on-premises systems * Experience in utilizing machine learning and data analysis other than generative AI in business operations * Experience in negotiating with IT departments and LoB departments of enterprise companies