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About the Role
We are seeking an AI Architect to lead initiatives in AI/ML, generative AI, agentic AI, and data architecture. In this role, you will design highly scalable AI solutions and establish governance frameworks, while also providing strategic guidance to clients across areas such as AI transformation, solution roadmap development, and pre-sales activities.
Responsibilities
- Provide strategic advice and thought leadership to clients in the fields of AI, machine learning (ML), generative AI (GenAI), agentic AI, and data & analytics, while driving AI transformation initiatives.
- Collaborate with business and technical stakeholders to define target AI architectures that account for functional and non-functional requirements, as well as needs related to security, compliance, and scalability.
- Design and oversee the development of end-to-end AI solutions, including AI/ML platforms, generative AI applications, solutions leveraging large language models (LLMs), retrieval-augmented generation (RAG) architectures, AI agents, data platforms, and cloud-native AI ecosystems.
- Develop and propose roadmaps for AI architectures and solutions that align with business requirements, clearly demonstrating business value, return on investment (ROI), scalability, and quantifiable outcomes.
- Lead architectural discussions regarding the selection of foundation models, AI platforms, cloud services, vector databases, orchestration frameworks, and MLOps/LLMOps practices.
- Work with internal stakeholders to establish AI management standards, guidelines, governance principles, and policies tailored to client requirements.
- Lead pre-sales activities, including the preparation of proposals and the delivery of presentations to clients.
Requirements
- Must hold a bachelor’s degree from an accredited educational institution or an equivalent international degree. Progressive, specialized professional experience in a related field may be accepted as a substitute for formal academic qualifications.
- Must have at least 12 years of professional experience in the IT (Information Technology) sector.
- Must be bilingual in Japanese and English (proficient in both languages).
- Must be a Japanese national or hold a valid visa that permits employment in Japan. Please note that visa sponsorship is not currently provided.
- Must have at least 10 years of professional experience in the fields of AI/ML (Artificial Intelligence/Machine Learning), data architecture, and solution design.
- Over 8 years of experience in AI/ML, agentic AI architectures, solution design, data science, and AI governance.
- More than 5 years of experience in the AI/ML and data domain, covering the design, development, deployment, and operation of AI solutions.
- Advanced expertise in Generative AI, Large Language Models (LLMs), foundation models, prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, and AI copilot platforms.
- Experience in designing and implementing scalable AI architectures, AI platforms, and MLOps/LLMOps frameworks within cloud environments such as Azure, AWS, and GCP.
- Deep understanding of Responsible AI, AI governance, model lifecycle management, security, privacy, and compliance requirements.
- Strong verbal and written communication skills.
- Experience with the Software Development Lifecycle (SDLC).
- Ability to work effectively as part of a team in environments with diverse stakeholders.
- Practical experience in global delivery environments, or a strong motivation to work in such an environment.
Skills
- AI/ML
- Generative AI
- Agentic AI
- Data Architecture
- AI Transformation
- Solution Roadmap Development
- Pre-sales Activities
- Machine Learning (ML)
- Data & Analytics
- AI Architectures
- Security
- Compliance
- Scalability
- AI/ML Platforms
- Generative AI Applications
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- AI Agents
- Data Platforms
- Cloud-native AI Ecosystems
- Foundation Models
- Cloud Services
- Vector Databases
- Orchestration Frameworks
- MLOps/LLMOps
- AI Management Standards
- Governance Principles
- Policies
- Proposal Preparation
- Client Presentations
- Data Science
- AI Governance
- Prompt Engineering
- AI Copilot Platforms
- Azure
- AWS
- GCP
- Responsible AI
- Model Lifecycle Management
- Privacy
- Software Development Lifecycle (SDLC)
- Teamwork
- Global Delivery
Experience Level
- 12+ years of professional experience in the IT sector
- 10+ years of professional experience in AI/ML, data architecture, and solution design
- 8+ years of experience in AI/ML, agentic AI architectures, solution design, data science, and AI governance
- 5+ years of experience in AI/ML and data domain, covering design, development, deployment, and operation of AI solutions
Education Level
- Bachelor’s degree from an accredited educational institution or an equivalent international degree
- Progressive, specialized professional experience in a related field may be accepted as a substitute for formal academic qualifications