Executive Director, AI Tech Delivery Lead
On-siteTokyo, Tokyo, Japan
Job Summary
Lead the build-out of APAC AI Cross-Functional Team delivery capabilities by establishing an expert solutioning and delivery team structure, defining cross-functional pods, and orchestrating a hub-and-spoke model leveraging the Global Capability Centre in India. Design end-to-end enterprise automation solutions spanning agentic AI, multi-agent systems, and workflow automation using Azure AI Foundry, enforcing reference architectures, design patterns, and reusable accelerators while ensuring compliance with enterprise standards and regulatory obligations across Asia Pacific. Drive agile, iterative delivery from rapid prototyping through production deployment, track Key Performance Indicators including sprint velocity and defect rates, and implement CI/CD and MLOps pipelines for automated model deployment and monitoring.
Required Qualifications
- 15+ years of technology leadership experience within banking, financial services, or highly regulated industries
- 5+ years of hands-on experience designing and delivering Artificial Intelligence, Generative Artificial Intelligence (Generative AI), and/or intelligent automation solutions in production environments
- Proven experience with enterprise automation platforms (Microsoft Power Platform / Power Automate, UiPath, or equivalent) and their integration with AI and Generative AI capabilities
- Good working knowledge of Azure AI Foundry (or equivalent platforms such as Amazon Web Services Bedrock or Google Cloud Platform Vertex AI) — including model deployment, prompt flow, grounding, fine-tuning, and evaluation tooling
- Strong expertise in cloud-native architectures (Microsoft Azure preferred), data engineering, lakehouse and data mesh patterns, and Application Programming Interface (API)-driven integration
- Hands-on proficiency with Large Language Models (for example, GPT-4, GPT-4o, Claude, open-source models), Microsoft Copilot Studio, prompt engineering, Retrieval-Augmented Generation, Graph-based Retrieval-Augmented Generation, vector databases, and embedding strategies
- Good understanding of one or more Agentic AI frameworks such as AutoGen, Semantic Kernel, LangGraph, CrewAI, or equivalent agent orchestration frameworks
- Familiarity with Large Language Model and Generative AI evaluation frameworks — automated metrics, red-teaming, regression testing, observability, and continuous monitoring in production
- Experience implementing Continuous Integration / Continuous Deployment pipelines for AI and Machine Learning models, including versioning, A/B deployment, monitoring, and automated rollback
- Understanding of AI-specific security concerns — prompt injection mitigation, data leakage prevention, Personally Identifiable Information (PII) handling, content filtering, and access control in multi-tenant AI deployments
- Proven track record of building and scaling delivery organisations — including offshore/nearshore models, Global Capability Centre leverage, and cross-functional pod structures
- Experience navigating IT risk, Model Risk Management, information security, and regulatory frameworks in multi-jurisdictional Asia Pacific environments
Desired Qualifications
- Significant cross-border experience across Asia Pacific in Banking Technology — Japan and broader Asia experience strongly preferred
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