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Capgemini

Global consulting, technology services, outsourcing

AI Architect - Telecom Network Engineer

AI Application EngineeringUpdated on Nov 14
Full-timeSeattle, WA, USAIn-person

About the Job

Requirements

  • Deep understanding of wireless network architecture, including radio access network, core, transport, operations support systems/business support systems, service assurance, network operations, and engineering workflows.
  • Expertise in designing solutions using large language models, retrieval-augmented generation, knowledge graphs, vector databases, multi-agent systems, and artificial intelligence orchestration frameworks.
  • Ability to conceptualize, prototype, and demonstrate artificial intelligence products and accelerators while supporting solutioning, bids, proposals, executive presentations, and client workshops.
  • Experience building artificial-intelligence-powered solutions for incident management, root cause analysis, predictive maintenance, anomaly detection, and operational automation.
  • Strong expertise in Azure, Databricks, Fabric, Snowflake, data engineering, machine learning operations, large language model operations, application programming interfaces, and cloud-native architectures.
  • Experience creating enterprise knowledge repositories, semantic search capabilities, engineering copilots, and intelligent decision-support systems.
  • Ability to define architecture blueprints, integration patterns, security standards, artificial intelligence governance frameworks, and best practices.
  • Proven ability to lead cross-functional teams, influence senior stakeholders, mentor engineers, and drive enterprise artificial intelligence adoption.

Responsibilities

  • Define and execute the artificial intelligence strategy and architecture roadmap for network engineering, operations, automation, and digital transformation initiatives.
  • Design and build artificial-intelligence-powered engineering assistants and copilots that improve knowledge discovery, troubleshooting, decision-making, and engineer productivity across multiple network domains.
  • Lead the development of artificial intelligence products, accelerators, and proof-of-concepts, rapidly prototyping solutions to address business and operational challenges.
  • Partner with sales, solutioning, and leadership teams to support bids, proposals, client presentations, executive briefings, and artificial intelligence transformation roadmaps through technical leadership and demonstrations.
  • Develop intelligent operational solutions for incident triage, root cause analysis, predictive insights, automated recommendations, and workflow orchestration.
  • Create unified artificial intelligence and data ecosystems by integrating structured and unstructured engineering knowledge, operational data, telemetry, documentation, and business processes.
  • Establish artificial intelligence architecture standards and governance, ensuring scalability, reliability, security, observability, data quality, and responsible artificial intelligence compliance.
  • Lead and mentor multidisciplinary teams of artificial intelligence engineers, data scientists, platform engineers, and domain experts while driving continuous innovation and adoption of emerging artificial intelligence technologies.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

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