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Orange

Global telecommunications provider delivering mobile services

Enterprise AI Architect

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listed

About the Job

Requirements

  • Proven experience in Data and AI Platform Architecture, including deep knowledge of distributed systems and modern data stacks.
  • Significant background architecting for performance, resilience, and scalability within global service provider or large enterprise environments.
  • Advanced understanding of AI and machine-learning infrastructure, including experience with leading models from OpenAI, Anthropic, or Google.
  • Expertise in database technologies such as MongoDB and Snowflake.
  • Extensive professional history within the APAC region, managing complex stakeholder environments and cross-functional teams.
  • A track record of driving technical strategy for high-growth business units in the cloud and data sectors.

Responsibilities

  • Serve as the primary technical authority for designing and commercializing end-to-end AI ecosystems, bridging core infrastructure and the AI Knowledge Layer so models, data pipelines, and applications are integrated into repeatable, globally deliverable services.
  • Lead the architectural strategy for shifting from traditional storage and compute to Model-as-a-Service and Agentic AI frameworks.
  • Architect AI platforms spanning training, inference, and data pipelines across core, cloud, and edge environments.
  • Design the AI Knowledge Layer, integrating object storage, vector databases, and lakehouse architectures to support retrieval-augmented generation and enterprise search.
  • Define reference architectures for Model-as-a-Service and placement of AI workloads based on latency, resilience, and scale.
  • Translate AI platform capabilities into customer-ready solutions and deployable service blueprints.
  • Collaborate with infrastructure and network engineers to align AI platforms with existing enterprise operational and delivery models.
  • Develop application-level AI frameworks, guiding integration of large language models into functional enterprise software and workflows.
  • Act as the architectural anchor for regional go-to-market initiatives, translating technical AI capabilities into value propositions for enterprise customers.
  • Guide specialist engineering teams toward integrated outcomes and enable execution in technology domains such as generative AI.
  • Support high-stakes enterprise pursuits by aligning technical intent with commercial viability and long-term scalability.

About the Company

Orange

Global telecommunications provider delivering mobile services

Orange is a global telecommunications company providing mobile, fixed-line, and internet services to millions of customers. Its products work by running cellular networks, fixed broadband, and digital services that let people make calls, send messages, browse the web, and use apps on smartphones and other devices; brands like Orange are used across services and regions to offer plans, data, roaming, and customer support. The company differentiates itself through its long history of growth via strategic acquisitions and a single, unified global brand, giving it a broad European and international footprint with integrated mobile, fixed-line, and digital offerings. Its goal is to connect people and businesses worldwide by delivering reliable communications and digital services while expanding its network reach and continuing to evolve in the telecom landscape.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1988

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