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Senior AI Architect (Generative AI & Enterprise ML) - Japan Expansion

Remote
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Lead the design and deployment of cutting-edge AI solutions, combining Generative AI, RAG, and traditional ML for global enterprises. Bridge business challenges with scalable, production-grade architectures while mentoring engineering teams and guiding client engagements. Shape AI governance, safety, and performance frameworks in a fast-growing Japanese market expansion.

Key Highlights
Hands-on senior architecture role for enterprise AI solutions (Generative AI, RAG, Agentic AI, and traditional ML)
Direct client engagement to translate business needs into scalable, production-ready AI architectures
Mentorship and technical leadership for engineering teams, with focus on LLMOps/MLOps best practices
Key Responsibilities
Design and deploy end-to-end enterprise AI solutions using Generative AI (RAG, Agentic AI) and traditional ML for production environments
Lead technical architecture, scalability, and performance optimization for AI applications while establishing governance frameworks for safety, privacy, and compliance
Collaborate directly with clients to define technical roadmaps, evaluate AI performance (hallucination, relevance, accuracy), and present solutions to senior stakeholders
Technical Skills Required
Generative AI (LLMs, RAG, Prompt Engineering, Fine-Tuning) Machine Learning (Supervised/Unsupervised Learning, NLP, Computer Vision) Cloud-Based AI & MLOps/LLMOps
Benefits & Perks
Flexible and highly autonomous working environment
Full remote work may be considered (depending on role/business requirements)
Social insurance, transportation fee, and generous paid leave (2 days off per week)

Job Description

A Global IT Service firm is looking for an experienced AI Architect to lead the design and delivery of enterprise AI solutions across Generative AI and traditional Machine Learning. This is a senior, hands-on architecture role combining technical leadership, solution design, engineering support, and client engagement. The successful candidate will work directly with customers to understand business challenges, translate requirements into scalable AI architectures, and guide engineering teams from PoC through to production deployment.

Responsibilities:

- Design end-to-end enterprise AI solutions using Generative AI, RAG, Agentic AI, and traditional Machine Learning

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