Senior AI Strategy & Transformation Leader

Ericsson GmbH

Singapore

Hybrid

SGD 240,000 - 420,000

Full time

14 days+
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Job summary

Ericsson GmbH in Singapore seeks a Director AI Solutions & Architecture to lead AI transformation for strategic customers. You will shape AI strategy, architect end-to-end solutions, and drive adoption from concept to production.

The role combines deep technical AI expertise with business leadership, governance, and ecosystem engagement to accelerate measurable outcomes across networks and enterprise IT.

Qualifications

  • 15+ years of experience across AI, software engineering, cloud, or enterprise architecture.
  • Deep expertise in Generative AI, Agentic AI, LLMs, and related tooling.
  • Experience delivering AI solutions at scale in enterprise/telecom domains.
  • Ability to translate business challenges into scalable AI architectures.
  • Strong executive presence and stakeholder influence at CXO level.

Responsibilities

  • Act as trusted AI advisor to customer executives and technology leaders.
  • Define AI transformation roadmaps, priorities, and business value realization plans.
  • Identify new AI-led opportunities across Networks, Operations, IT, Cloud, Security, and Digital Services.
  • Design end-to-end AI architectures spanning LLMs, RAG, knowledge graphs, and cloud-native stacks.
  • Lead workshops, architecture reviews, and solution design sessions.
  • Ensure AI solutions are scalable, secure, and production-ready.
  • Drive AI adoption, governance, and operating models across organisations.

Skills

AI experience
Software engineering
Cloud
Enterprise architecture
Data platforms
Consulting
Telecommunications
Executive presence

Tools

Kubernetes
Vector databases
AI agents
MCP frameworks
AI orchestration
LLMs

Job description

Ericsson GmbH in Singapore seeks a Director AI Solutions & Architecture to lead AI transformation for strategic customers. You will shape AI strategy, architect end-to-end solutions, and drive adoption from concept to production.

The role combines deep technical AI expertise with business leadership, governance, and ecosystem engagement to accelerate measurable outcomes across networks and enterprise IT.

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