Lead Architect
Location: Kuala Lumpur (KL), Malaysia
Department: Global Technology – Architecture (Asia)
Role Value Proposition
The Lead Architect is responsible for defining, governing, and scaling enterprise and domain architectures across Artificial Intelligence (AI), Generative AI (GenAI), Agentic AI, Identity and Access Management (IAM), Customer Identity and Access Management (CIAM), Cloud & Infrastructure. The role ensures MetLife's platforms are secure, resilient, scalable, and compliant, while accelerating cloudfirst and AIdriven digital transformation across Asia.
Key Responsibilities
AI, GenAI & Agentic AI Architecture
- Define enterprise architecture for AI, GenAI, and Agentic AI platforms including model lifecycle management, orchestration, tooling, and integration with enterprise platforms.
- Architect Large Language Model (LLM) based solutions using commercial and opensource models, applying retrievalaugmented generation (RAG), finetuning, prompt engineering, and agentbased patterns
- Establish standards and reference architectures for ML and GenAI tooling such as feature stores, vector databases, model registries, MLOps / LLMOps pipelines, and AI observability frameworks.
- Ensure responsible AI, explainability, data privacy, bias mitigation, and regulatory compliance are embedded by design.
IAM & CIAM Architecture
- Own workforce IAM and CIAM architecture including authentication, authorization, federation, consent management, and digital identity lifecycle.
- Drive zerotrust, leastprivilege, and privacybydesign identity solutions.
Cloud & Azure Architecture
- Provide architectural leadership for Microsoft Azure including landing zones, identity integration, governance, networking, security, resilience, and cost controls.
- Define hybrid and multicloud reference architectures aligned to enterprise and regulatory standards.
Infrastructure & Reliability Engineering
- Lead infrastructure architecture for availability, disaster recovery, performance, observability, and resilience across cloud and onprem platforms.
- Promote SRE, automationfirst, and reliability engineering practices.
Architecture Governance & Risk Management
Serve as a contributor to Architecture Review Boards and AI governance forums, enforcing enterprise architecture, security, and AI risk standards.
Identify architectural risks and communicate technology tradeoffs to senior stakeholders.
Skills & Competencies
- Deep expertise in Microsoft Azure architecture and cloud platforms
- Strong handson knowledge of AI, GenAI, Agentic AI, LLMs, and ML platforms
- Experience with ML tools, frameworks, and AI orchestration patterns
- IAM and CIAM securitybydesign principles
- Executive communication, influence, and decisionmaking
Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 10+ years of progressive IT and architecture experience
- Microsoft Certified: Azure Solutions Architect Expert (preferred)
- Microsoft Azure AI Engineer Associate or Azure AI certification (preferred)
- Architecture, cloud, security, or identity certifications preferred
