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全职 Agentic AMS Solution Architect 工作, 薪水, Accenture 公司招聘中 - Ricebowl

Agentic AMS Solution Architect

Undisclosed

Singapore

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工作地点

  • Singapore

职位描述

岗位职责

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.

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