Director - AI Solutions and Strategy

Ericsson Telecommunications Pte. Ltd.

Singapore

On-site

SGD 250,000 - 350,000

Full time

14 days+

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Job summary

Ericsson Telecommunications Pte. Ltd. in Singapore seeks a Director AI Solutions & Architecture to lead AI transformation for strategic customers.

This senior, hands-on role combines AI expertise with solution architecture, consulting, and business leadership to move AI initiatives from concept to production. You will shape strategies, drive governance, and partner with engineering teams to ensure scalable, secure AI deployments that unlock measurable business value across networks, IT, cloud,

Qualifications

  • Senior customer-facing AI technology leader responsible for shaping, architecting, and accelerating AI-led transformation.
  • Experience in solution architecture and business leadership to take AI initiatives from concept to production.

Responsibilities

  • Act as trusted AI advisor to customer executives and technology leaders.
  • Define AI transformation strategies, roadmaps, and business value realization plans.
  • Identify new AI-led business opportunities across Networks, Operations, Enterprise IT, Cloud, Security, and Digital Services.
  • Design end-to-end AI architectures spanning LLMs, Agentic AI, RAG, Knowledge Graphs, Data Platforms, and Cloud-native environments.
  • Drive AI adoption, incubation programs, governance frameworks, and value tracking with customers.

Job description

About this opportunity:

This role Director AI Solutions & Architecture is a senior customer-facing AI technology leader responsible for shaping, architecting, and accelerating AI-led transformation across strategic customers. This is a highly technical and hands-on role that combines deep AI expertise, solution architecture, consulting, and business leadership to take AI initiatives from concept to production.


What you will do:

AI Strategy & Transformation Leadership


  • Act as the trusted AI advisor to customer executives, CTOs, CIOs, architects, and technology leaders.

  • Define AI transformation strategies, roadmaps, investment priorities, and business value realization plans.

  • Identify and create new AI-led business opportunities across Networks, Operations, Enterprise IT, Cloud, Security, and Digital Services.

  • Drive executive discussions around AI governance, responsible AI, and AI operating models.


Hands-On AI Solution Architecture


  • Design end-to-end AI architectures spanning LLMs, Agentic AI, RAG, Knowledge Graphs, Data Platforms, Automation, and Cloud-native environments.

  • Lead technical discovery workshops, architecture reviews, solution design sessions, and AI use-case assessments.

  • Build and validate AI solution blueprints, reference architectures, and proof-of-value frameworks.

  • Work directly with engineering teams to ensure AI solutions are scalable, secure, and production-ready.


AI Adoption & Innovation Acceleration


  • Serve as the catalyst for AI adoption across customer organizations.

  • Identify high-impact use cases and accelerate movement from ideation to production deployment.

  • Establish AI incubation programs and innovation initiatives with customers.

  • Drive AI literacy, adoption, and executive sponsorship across customer stakeholders.

  • Challenge the status quo and continuously identify opportunities where AI can simplify, automate, and transform operations.


Technical Leadership & Ecosystem Engagement


  • Act as the bridge between customer requirements and Ericsson's Business Areas, Product Development Units, and Solution Areas.

  • Influence Ericsson's AI product roadmap through direct customer engagement and market insights.

  • Provide technical leadership during major customer pursuits, proposals, and transformation programs.


AI Delivery & Value Realization


  • Ensure successful transition of AI initiatives from concept, pilot, and proof-of-value into production environments.

  • Support customers in establishing AI operating models, governance frameworks, and value tracking mechanisms.

  • Drive measurable outcomes including productivity gains, automation benefits, operational efficiency, and customer experience improvements.

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