LTM
AI Technical Program Manager
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Tokyo, Japan
Work mode:
Onsite
Published on:
21 September 2026
What they need
About the Role
We are seeking an experienced Technical Project Manager to lead the end-to-end delivery of cutting-edge Generative AI (GenAI) initiatives within the Microsoft Azure ecosystem. The ideal candidate will have hands-on experience managing and delivering projects involving Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Azure OpenAI, Microsoft Copilot, and Copilot Studio solutions.
This is a strategic leadership role requiring strong project management capabilities, technical understanding of AI solutions, and the ability to manage multiple stakeholders, vendors, and cross-functional teams while ensuring successful project delivery.
Key Responsibilities
Project Leadership & Delivery
- Lead the complete lifecycle of GenAI projects from Proof of Concept (PoC) through production deployment.
- Manage project scope, timelines, budgets, risks, and resource allocation.
- Drive large-scale implementations, migrations, and cloud transformation initiatives.
- Ensure projects are delivered on time, within budget, and aligned with business objectives.
- Manage multiple concurrent projects and priorities in a fast-paced environment.
AI & Technology Delivery
- Oversee the development and deployment of:
- Retrieval-Augmented Generation (RAG) solutions
- LLM-powered assistants and AI applications
- Agentic AI workflows
- Microsoft 365 Copilot implementations
- Custom Copilot Studio agents
- Collaborate closely with architects, developers, and AI engineers to deliver scalable solutions on Azure.
Governance, Risk & Compliance
- Manage GenAI-specific risks such as:
- Hallucination mitigation
- Data privacy and security
- PII masking
- Responsible AI and compliance requirements
- Ensure adherence to organizational AI governance standards and best practices.
Stakeholder & Program Management
- Lead communication across business, technical, client, vendor, and offshore teams.
- Conduct project governance reviews and leadership updates.
- Prepare and present project status reports, dashboards, and executive summaries.
- Track schedule, cost, and delivery variances across programs.
- Identify, monitor, and drive closure of risks, issues, and dependencies.
Required Skills & Experience
Technical Expertise
- Strong understanding of:
- Generative AI
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Azure OpenAI Service
- Azure AI Studio
- Microsoft 365 Copilot
- Copilot Studio
- Azure Cloud Services
- Experience overseeing AI-powered enterprise solutions and cloud transformation programs.
Project Management
- Proven experience managing large-scale technology implementations and migrations.
- Strong expertise in project planning, execution, governance, and stakeholder management.
- Experience using Azure DevOps (ADO) or other project management tools.
- Advanced proficiency in Microsoft Excel, PowerPoint, and Word.
Soft Skills
- Excellent communication and stakeholder management skills.
- Strong leadership and team coordination capabilities.
- Ability to work under tight deadlines and manage escalations effectively.
- Outstanding organizational, prioritization, and time-management skills.
Preferred Qualifications
- Experience delivering enterprise-scale AI transformation programs.
- Exposure to Responsible AI frameworks and governance models.
- Experience working in multi-vendor, multi-geography delivery environments.
- Strong understanding of Agile, Waterfall, or Hybrid project delivery methodologies.
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