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企业架构师(EA)— 自主网络运营(ANO)

Enterprise Architect (EA) — Autonomous Network Operations (ANO)

开发工程职能支持限定地区(需当地身份)日间重叠仅 1 小时,需熬夜配合
公司Be | Shaping the Future
薪资未公开
工作地点United Kingdom
地域资格限定地区(需当地身份)
时区要求日间重叠仅 1 小时,需熬夜配合
用工类型Full Time
发布时间12 天前
数据来源Himalayas
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注意地域限制:该职位明确限定在 United Kingdom 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
作息提示:日间重叠仅 1 小时,需熬夜配合。

职位概述
自主网络运营(ANO)首席架构师负责定义并引领网络运营的战略演进,从被动管理模型转向认知型、人工智能驱动的自愈架构。该职位是 ANO 项目的首席技术权威,推动意图驱动自动化、自主服务保障、数字孪生功能以及 AI 驱动的运营智能在 RAN、传输和核心领域的设计与实现。

主要职责
战略技术领导

  • 作为自主网络运营(ANO)项目的主架构师,监督从传统被动网络运营向认知型、自愈网络架构的转型。
  • 制定长期 ANO 技术路线图,并确保与业务目标、运营效率目标和服务质量指标保持一致。
  • 在所有 ANO 项目中提供技术治理和架构领导。

意图驱动自动化

  • 领导设计和部署意图驱动的闭环自动化架构,将高层次业务目标转化为自动化的资源级操作。
  • 推动 RAN、传输和核心网络领域中的自动化策略。
  • 建立可扩展的策略驱动编排和自主决策框架。

认知服务修复

  • 架构并协调利用 AI 代理、高级分析和全局遥测的跨域推理系统。
  • 实现主动检测、诊断和修复,在客户受到影响之前解决无声的网络退化问题。
  • 实施自主服务保障和预测性运营能力。

数字孪生与数据策略

  • 监督利用 Spanner Graph 和 BigQuery(UPM 3.0)的网络数字孪生架构的实施。
  • 实现实时仿真、根本原因分析(RCA)、依赖关系映射和运营场景建模。
  • 定义支持自主运营和 AI 驱动洞察的企业级数据策略。

行业标准对齐

  • 确保架构蓝图符合 TM 论坛自主网络框架,包括 TMF921意图 API 及相关标准。
  • 推动符合 Google 参考架构和实施指南的合规性。
  • 在行业论坛和标准相关倡议中代表组织。

知识管理

  • 领导知识的推广
查看英文原文

Role Overview
The Principal Architect for Autonomous Network Operations (ANO) is responsible for defining and leading the strategic evolution of network operations from reactive management models toward cognitive, AI-driven, self-healing architectures. This role serves as the chief technical authority for the ANO program, driving the design and implementation of intent-based automation, autonomous service assurance, digital twin capabilities, and AI-powered operational intelligence across RAN, Transport, and Core domains.
Key Responsibilities
Strategic Technical Leadership

  • Serve as the lead architect for the Autonomous Network Operations (ANO) program, overseeing the transformation from traditional reactive network operations to cognitive, self-healing network architectures.
  • Define the long-term ANO technology roadmap and ensure alignment with business objectives, operational efficiency goals, and service quality targets.
  • Provide technical governance and architectural leadership across all ANO initiatives.

Intent-Based Automation

  • Lead the design and deployment of intent-driven, closed-loop automation architectures that translate high-level business objectives into automated resource-level actions.
  • Drive automation strategies across RAN, Transport, and Core network domains.
  • Establish scalable frameworks for policy-driven orchestration and autonomous decision-making.

Cognitive Service Healing

  • Architect and orchestrate cross-domain reasoning systems leveraging AI agents, advanced analytics, and global telemetry.
  • Enable proactive detection, diagnosis, and remediation of silent network degradations before customer impact occurs.
  • Implement autonomous service assurance and predictive operational capabilities.

Digital Twin & Data Strategy

  • Oversee the implementation of a Network Digital Twin architecture utilizing Spanner Graph and BigQuery (UPM 3.0).
  • Enable real-time simulation, root cause analysis (RCA), dependency mapping, and operational scenario modeling.
  • Define enterprise-wide data strategies supporting autonomous operations and AI-driven insights.

Industry Standards Alignment

  • Ensure architectural blueprints align with TM Forum Autonomous Network frameworks, including TMF921 Intent APIs and related standards.
  • Drive compliance with Google reference architectures and implementation guidelines.
  • Represent the organization in industry forums and standards-related initiatives.

Knowledge Management

  • Lead the rollout of enterprise knowledge management capabilities leveraging Knowledge Catalog and Dataplex.
  • Establish a unified operational knowledge foundation by consolidating fragmented network telemetry, operational documentation, and service intelligence.
  • Promote data governance and knowledge-sharing best practices across the organization.

Technical Requirements
DomainRequired ExpertiseAI & OptimizationHands-on experience with Vertex AI Agent Engine, Agent Space, Vertex AI Search, and AI-powered network optimization solutions operating in near real-time environmentsData ArchitectureStrong expertise in Spanner Graph, BigQuery (UPM 3.0), Dataplex, and automated data ingestion and processing pipelinesNetworking & TelecommunicationsDeep understanding of OSS/BSS architectures, CNF/VNF onboarding, 5G Core networks, and Autonomous Network Operations (ANO) frameworksClosed-Loop OperationsProven experience designing and implementing intent-driven orchestration, automated RCA, self-healing workflows, and AADE (Awareness, Analysis, Decision, Execution) operational cyclesSecurity & GovernanceExpertise in AAA controls (Authentication, Authorization, and Audit), Model Armor, data sovereignty requirements, and data residency regulations
Preferred Qualifications
Proven Delivery Experience

  • Demonstrated success leading strategic telecommunications platform programs valued at $2M+.
  • Track record of delivering large-scale transformation initiatives involving AI, automation, and network operations modernization.

Industry Recognition

  • Active participation and visibility within major industry events and forums such as Mobile World Congress (MWC), DTW, or equivalent telecommunications industry programs.
  • Experience contributing to industry standards and best-practice initiatives.

Thought Leadership

  • Recognized expertise in Level 4/Level 5 network autonomy and self-optimizing network architectures.
  • Published contributions, speaking engagements, or industry leadership related to AI-driven network operations and autonomous networking.
  • Ability to influence executive stakeholders and drive strategic technology adoption across large-scale telecommunications environments.

Originally posted on Himalayas

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