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Orange

Global telecommunications provider delivering mobile services

Expert IA – Architecture - IA Générative, Agentique

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeCesson-Sévigné, FranceNo salary listedIn-person

About the Job

Requirements

  • Solid experience designing and implementing Data and AI solutions.
  • Experience designing or supporting the production deployment of solutions integrating multiple components such as large language models, retrieval-augmented generation, agents, APIs, cloud, or data platforms.
  • Ability to understand technologies deeply, prototype to validate ideas, compare and arbitrate among solutions, design industrializable architectures, challenge technical teams, anticipate security, performance, operations, and costs, and explain complex technical subjects simply.
  • Expertise in modern Data and AI architectures and an interest in emerging technologies, including generative AI and models; retrieval-augmented generation and context engineering; agentic AI frameworks; low-code AI automation; engineering and industrialization; MLOps, LLMOps, and AgentOps; AI evaluation and observability; cloud and AI platforms; security and governance; and AI FinOps.

Responsibilities

  • Design and challenge AI and generative AI architectures.
  • Define suitable patterns for retrieval-augmented generation, assistants, agents, multi-agent systems, and AI workflows.
  • Select models, frameworks, and components, and compare proprietary and open-source solutions.
  • Build or supervise technical prototypes and secure the transition from prototype to production.
  • Support and challenge delivery teams; analyze performance, latency, quality, and costs; and embed security, observability, evaluation, and governance from the design stage.
  • Design cloud, hybrid, on-premises, or sovereign architectures.
  • Define reference architectures, share best practices, support consultants and engineers, lead or contribute to certification pathways, organize lessons-learned sessions, and challenge technology choices.
  • Contribute to recruitment.
  • Qualify technical problems for strategic opportunities, design architectures, challenge vendor solutions, estimate effort and risks, contribute to proposals, participate in presentations, and identify client development opportunities.
  • Contribute to innovation on AI scaling and industrialization, agentic architectures, assistants and process automation, AI FinOps, open-source AI, sovereignty, AI-enhanced data governance and master data management, AI-assisted data migration, new retrieval-augmented generation and agent patterns, and AI system evaluation and observability.
  • Represent the organization’s expertise through conferences, events, webinars, client demonstrations, technology seminars, articles, white papers, and expert communities.

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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