AI Delivery Specialist
Job Summary
This position involves leading the implementation of solutions utilizing LLM and generative AI, acting as a bridge between technology and customers. You will manage projects from requirements definition to operation, ensuring successful AI utilization for client companies. The role requires balancing technical AI solution design with strategic project management and stakeholder coordination.
Responsibilities
- Manage AI implementation projects from PoC to production
- Design and deploy LLM, RAG, and Generative AI solutions
- Control QCD (Quality, Cost, Delivery) and project scope
- Bridge technical requirements with customer business goals
- Monitor KPIs and drive data-driven performance improvements
Required Skills
- 3+ years project management or 2+ years AI/SaaS implementation
- B2B negotiation and stakeholder management
- Proficiency in Japanese (Business Level)
- QCD management and roadmap development
- Understanding of LLM/RAG/Generative AI technologies
Job Details
### Job Description
This position involves consistently leading the implementation of solutions utilizing LLM and generative AI, from requirements definition to operation. As a "bridge between technology and customers," you will play an active role in both project management and AI solution design, guiding client companies to successful AI utilization.
### Specific Job Responsibilities
- Development and promotion of delivery plans.
- Leading client companies' AI implementation projects consistently, from requirements definition to operation.
- Driving projects while developing roadmaps, managing scope, and controlling QCD (Quality, Cost, Delivery).
- Designing solutions utilizing LLM / RAG / Generative AI.
- Translating customer business challenges into technical requirements and supporting from PoC to production deployment.
- Building consensus with customer management and on-site personnel.
- Driving projects in collaboration with sales, engineers, and CS.
- Explaining technical details in a way that is understandable to non-technical individuals.
- Monitoring KPIs and implementing post-implementation improvement measures.
- Driving data-driven strategies to maximize the results of AI utilization.
### Working Hours
- 9:00 AM - 6:00 PM (including a 1-hour break; overtime work may be required).
- Flextime system (core time 10:00 AM - 4:00 PM).
- Discretionary work arrangements apply to employees above a certain grade level.
### Job Requirements
- Candidates must have experience in one of the following:
- 3+ years of project management experience from requirements definition to implementation (B2B negotiation at an SIer or IT consulting firm).
- 2+ years of experience in AI or SaaS product implementation projects (involvement in the generative AI implementation phase).
- 3+ years of experience as a technical consultant/field engineer (experience proposing AI solutions to customers).
- Customer negotiation skills in Japanese.
- Project goal design and schedule management skills.
- Practical experience in QCD management.
### Preferred Skills
- LLM / RAG / Project experience utilizing generative AI.
- Experience from PoC to full-scale implementation.
- Engineering experience with Python, etc.
- Customer success experience.
- Technical presentation experience.
### Language Requirements
- English: Daily Conversation Level (TOEIC 475-730).
- Japanese: Business Level (JLPT Level 2 or N2).
### Compensation & Benefits
- Annual Salary: 7,020,000 - 12,000,000 yen (determined based on experience).
- Includes fixed overtime pay for 45 hours.
- Commuting allowance, social insurance, health checkup coverage, life and health support leave, and child support systems.