- Understand client business challenges and identify opportunities to leverage AI solutions to improve customer experience and operational efficiency.
- Design end-to-end AI solutions aligned with client business objectives, technical environments, and operational requirements.
- Present solution recommendations, architecture strategies, business value, and deployment roadmaps to client stakeholders and decision-makers.
- Lead pre-sales activities including discovery workshops, solution design, demos, effort estimation, implementation planning, proposal development, and technical feasibility assessments.
- Lead end-to-end delivery of AI solutions, coordinating with product, engineering, implementation, and client teams from solution design through deployment and adoption.
- Oversee integration with enterprise systems including CCaaS, CRM, knowledge management platforms, and other business applications.
- Manage implementation scope, risks, timelines, and stakeholder alignment to ensure successful project execution and business outcomes.
 

- Bachelor's degree or above in Computer Science, Software Engineering, Information Systems, or a related field.
- 7+ years of experience in solution consulting, solution architecture, implementation consulting, system integration, AI solution delivery, or technical consulting with client-facing responsibilities.
- Proven experience leading client-facing solution proposals, technical workshops, solution demonstrations, and enterprise technology delivery projects.
- Experience with CCaaS, Contact Center, CX, CRM, or Customer Experience technologies.
- Strong understanding of API integration, cloud architecture, databases, authentication, and enterprise integration patterns.
- Familiarity with AI technologies including Prompt Engineering, RAG, AI Agents, Conversational AI, and platforms such as Azure AI Foundry, OpenAI, Dify, or similar technologies.
- Experience with Azure, AWS, or Google Cloud environments preferred.
- Strong client communication, presentation, consulting, and stakeholder management skills.
- Native Korean and business-level English proficiency (B2 or above).