Agentic AMS Solution Architect

Location: Singapore About The Role Shape the future of AI-powered Managed Services by designing the architecture, governance, and operating models that enable humans and AI agents to work together effectively. This role will define scalable, secure, and production-ready Agentic AI solutions that drive transformation across Southeast Asia. Key Responsibilities: - Lead end-to-end solution architecture for Agentic AMS offerings and client implementations. - Design Human + Agent operating models, multi-agent architectures, enterprise integrations, and reusable solution blueprints. - Define architecture standards, AI guardrails, governance processes, and design authority reviews. - Establish production readiness criteria to ensure solutions are scalable, secure, and operationally sustainable. - Apply the CROPS framework (Cost, Reliability, Operations, Performance, and Security) to evaluate solution readiness before deployment at scale. - Partner with product, engineering, quality engineering, AgentOps, sales, and client teams to deliver commercially viable and supportable solutions. - Champion architecture best practices across cloud, AI, security, and enterprise platforms. Required Qualifications: - Proven experience in Enterprise Architecture and/or Solution Architecture. - Experience designing cloud and integration architectures within complex enterprise environments. - Experience leading architecture governance, design authority reviews, or enterprise architecture standards. Preferred Qualifications - Experience with Generative AI, Agentic AI, multi-agent systems, or AI-enabled enterprise solutions. - Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). - Familiarity with enterprise platforms such as SAP, Salesforce, ServiceNow, or SuccessFactors. - Experience defining operating models, governance frameworks, and reusable architecture patterns. - Knowledge of DevSecOps, AgentOps, platform engineering, or site reliability engineering practices.